Sanjay Jain

	2012
252		John Case, Sanjay Jain, Samuel Seah, Frank Stephan: Automatic Functions, Linear Time and Learning. CiE 2012: 96-106
251		Sanjay Jain, Efim B. Kinber: Mind Change Speed-up for Learning Languages from Positive Data. STACS 2012: 350-361
250		Sanjay Jain, Frank Stephan, Thomas Zeugmann: On the Amount of Nonconstructivity in Learning Formal Languages from Positive Data. TAMC 2012: 423-434
249		Sanjay Jain: A parametric emergency response project management system. IJAIP 4(1): 54-70 (2012)
	2011
248		Sanjay Jain, Eric Martin, Frank Stephan: Robust Learning of Automatic Classes of Languages. ALT 2011: 55-69
247		Sanjay Jain, Eric Martin, Frank Stephan: Learning and Classifying. ALT 2011: 70-83
246		John Case, Sanjay Jain, Yuh Shin Ong, Pavel Semukhin, Frank Stephan: Automatic Learners with Feedback Queries. CiE 2011: 31-40
245		John Case, Sanjay Jain, Trong Dao Le, Yuh Shin Ong, Pavel Semukhin, Frank Stephan: Automatic Learning of Subclasses of Pattern Languages. LATA 2011: 192-203
244		Sanjay Jain, Frank Stephan, Jason Teutsch: Closed Left-R.E. Sets. TAMC 2011: 218-229
243		Sanjay Jain, Konstantinos P. Triantis, Shiyong Liu: Manufacturing performance measurement and target setting: A data envelopment analysis approach. European Journal of Operational Research 214(3): 616-626 (2011)
242		Sanjay Jain: Hypothesis spaces for learning. Inf. Comput. 209(3): 513-527 (2011)
241		Sanjay Jain, Frank Stephan, Jason Teutsch: Index sets and universal numberings. J. Comput. Syst. Sci. 77(4): 760-773 (2011)
240		Sanjay Jain, Efim B. Kinber: Iterative learning from texts and counterexamples using additional information. Machine Learning 84(3): 291-333 (2011)
239		John Case, Sanjay Jain: Rice and Rice-Shapiro Theorems for transfinite correction grammars. Math. Log. Q. 57(5): 504-516 (2011)
238		Sanjay Jain, Qinglong Luo, Pavel Semukhin, Frank Stephan: Uncountable automatic classes and learning. Theor. Comput. Sci. 412(19): 1805-1820 (2011)
	2010
237		Sanjay Jain, Efim B. Kinber: Inductive Inference of Languages from Samplings. ALT 2010: 330-344
236		Sanjay Jain, Qinglong Luo, Frank Stephan: Learnability of Automatic Classes. LATA 2010: 321-332
235		Sanjay Jain, Deogratias Kibira: A framework for multi-resolution modeling of sustainable manufacturing. Winter Simulation Conference 2010: 3423-3434
234		Sanjay Jain, Charles W. Hutchings, Y. Tina Lee, Charles R. McLean: A knowledge sharing framework for homeland security modeling and simulation. Winter Simulation Conference 2010: 3460-3471
233		Sanjay Jain, Frank Stephan: Complexity of Inductive Inference. Encyclopedia of Machine Learning 2010: 198-201
232		Sanjay Jain, Frank Stephan: Computational Complexity of Learning. Encyclopedia of Machine Learning 2010: 201-202
231		John Case, Sanjay Jain: Connections Between Inductive Inference and Machine Learning. Encyclopedia of Machine Learning 2010: 210-219
230		Sanjay Jain, Frank Stephan: Inductive Inference. Encyclopedia of Machine Learning 2010: 523-528
229		Sanjay Jain, Frank Stephan: Query-Based Learning. Encyclopedia of Machine Learning 2010: 820-822
228		Sanjay Jain, Yuh Shin Ong, Frank Stephan: Regular patterns, regular languages and context-free languages. Inf. Process. Lett. 110(24): 1114-1119 (2010)
227		Sanjay Jain, Frank Stephan: Numberings optimal for learning. J. Comput. Syst. Sci. 76(3-4): 233-250 (2010)
226		Wilfred Amaldoss, Sanjay Jain: Reference Groups and Product Line Decisions: An Experimental Investigation of Limited Editions and Product Proliferation. Management Science 56(4): 621-644 (2010)
225		Leonor Becerra-Bonache, John Case, Sanjay Jain, Frank Stephan: Iterative learning of simple external contextual languages. Theor. Comput. Sci. 411(29-30): 2741-2756 (2010)
224		Sanjay Jain, Steffen Lange, Samuel E. Moelius, Sandra Zilles: Incremental learning with temporary memory. Theor. Comput. Sci. 411(29-30): 2757-2772 (2010)
	2009
223		Sanjay Jain, Qinglong Luo, Pavel Semukhin, Frank Stephan: Uncountable Automatic Classes and Learning. ALT 2009: 293-307
222		Sanjay Jain, Efim B. Kinber: Iterative Learning from Texts and Counterexamples Using Additional Information. ALT 2009: 308-322
221		Sanjay Jain, Frank Stephan, Nan Ye: Learning from Streams. ALT 2009: 338-352
220		Sanjay Jain, Frank Stephan: Consistent Partial Identification. COLT 2009
219		Sanjay Jain, Frank Stephan, Jason Teutsch: Index Sets and Universal Numberings. CiE 2009: 270-279
218		Sanjay Jain: Hypothesis Spaces for Learning. LATA 2009: 43-58
217		Sanjay Jain, Charles R. McLean: Recommended Practices for Homeland Security Modeling and Simulation. Winter Simulation Conference 2009: 2879-2890
216		Sanjay Jain: On some open problems in monotonic and conservative learning. Inf. Process. Lett. 109(16): 923-926 (2009)
215		Sanjay Jain: On some open problems in reflective inductive inference. Inf. Process. Lett. 109(3): 208-211 (2009)
214		Subhash C. Sarin, Balaji Nagarajan, Sanjay Jain, Lingrui Liao: Analytic evaluation of the expectation and variance of different performance measures of a schedule on a single machine under processing time variability. J. Comb. Optim. 17(4): 400-416 (2009)
213		Lorenzo Carlucci, John Case, Sanjay Jain: Learning correction grammars. J. Symb. Log. 74(2): 489-516 (2009)
212		P. K. Kannan, Barbara Kline Pope, Sanjay Jain: Practice Prize Winner - Pricing Digital Content Product Lines: A Model and Application for the National Academies Press. Marketing Science 28(4): 620-636 (2009)
211		Sanjay Jain: Self-Control and Optimal Goals: A Theoretical Analysis. Marketing Science 28(6): 1027-1045 (2009)
210		Sanjay Jain, Frank Stephan, Nan Ye: Prescribed learning of r.e. classes. Theor. Comput. Sci. 410(19): 1796-1806 (2009)
209		Sanjay Jain, Efim B. Kinber: One-shot learners using negative counterexamples and nearest positive examples. Theor. Comput. Sci. 410(27-29): 2562-2580 (2009)
208		Sanjay Jain, Eric Martin, Frank Stephan: Input-Dependence in Function-Learning. Theory Comput. Syst. 45(4): 849-864 (2009)
	2008
207		Leonor Becerra-Bonache, John Case, Sanjay Jain, Frank Stephan: Iterative Learning of Simple External Contextual Languages. ALT 2008: 359-373
206		Sanjay Jain, Frank Stephan: Numberings Optimal for Learning. ALT 2008: 434-448
205		Sanjay Jain: Tradeoffs in building a generic supply chain simulation capability. Winter Simulation Conference 2008: 1873-1881
204		Sanjay Jain, Frank Stephan, Nan Ye: Prescribed Learning of Indexed Families. Fundam. Inform. 83(1-2): 159-175 (2008)
203		Sanjay Jain, Frank Stephan: Learning in Friedberg numberings. Inf. Comput. 206(6): 776-790 (2008)
202		Lorenzo Carlucci, John Case, Sanjay Jain, Frank Stephan: Non-U-shaped vacillatory and team learning. J. Comput. Syst. Sci. 74(4): 409-430 (2008)
201		Sanjay Jain, Efim B. Kinber: Learning languages from positive data and negative counterexamples. J. Comput. Syst. Sci. 74(4): 431-456 (2008)
200		Wilfred Amaldoss, Sanjay Jain: Joint Bidding in the Name-Your-Own-Price Channel: A Strategic Analysis. Management Science 54(10): 1685-1699 (2008)
199		Sanjay Jain: Digital Piracy: A Competitive Analysis. Marketing Science 27(4): 610-626 (2008)
198		Wilfred Amaldoss, Sanjay Jain: Research Note - Trading Up: A Strategic Analysis of Reference Group Effects. Marketing Science 27(5): 932-942 (2008)
197		Sanjay Jain, Frank Stephan: Mitotic Classes in Inductive Inference. SIAM J. Comput. 38(4): 1283-1299 (2008)
196		Sanjay Jain, Charles R. McLean: Components of an Incident Management Simulation and Gaming Framework and Related Developments. Simulation 84(1): 3-25 (2008)
195		Sanjay Jain, Eric Martin, Frank Stephan: Absolute versus probabilistic classification in a logical setting. Theor. Comput. Sci. 397(1-3): 114-128 (2008)
194		Sanjay Jain, Efim B. Kinber: Learning and extending sublanguages. Theor. Comput. Sci. 397(1-3): 233-246 (2008)
	2007
193		Sanjay Jain, Efim B. Kinber: One-Shot Learners Using Negative Counterexamples and Nearest Positive Examples. ALT 2007: 257-271
192		Sanjay Jain, Frank Stephan, Nan Ye: Prescribed Learning of R.E. Classes. ALT 2007: 64-78
191		Sanjay Jain, Frank Stephan: Learning in Friedberg Numberings. ALT 2007: 79-93
190		Lorenzo Carlucci, John Case, Sanjay Jain: Learning Correction Grammars. COLT 2007: 203-217
189		Sanjay Jain, Frank Stephan: Mitotic Classes. COLT 2007: 218-232
188		Sanjay Jain, Eric Martin, Frank Stephan: Input-Dependence in Function-Learning. CiE 2007: 378-388
187		Sanjay Jain, Charles R. McLean, Y. Tina Lee: Towards standards for integrated gaming and simulation for incident management. SCSC 2007: 1213-1222
186		Charles R. McLean, Sanjay Jain, Frank Riddick, Y. Tina Lee: A simulation architecture for manufacturing interoperability testing. SCSC 2007: 601-608
185		Sanjay Jain, Frank Riddick, Andreas Craens, Deogratias Kibira: Distributed simulation for interoperability testing along the supply chain. Winter Simulation Conference 2007: 1044-1052
184		Lorenzo Carlucci, John Case, Sanjay Jain, Frank Stephan: Results on memory-limited U-shaped learning. Inf. Comput. 205(10): 1551-1573 (2007)
183		Sanjay Jain, Steffen Lange, Sandra Zilles: Some natural conditions on incremental learning. Inf. Comput. 205(11): 1671-1684 (2007)
182		Sanjay Jain, Efim B. Kinber: Iterative learning from positive data and negative counterexamples. Inf. Comput. 205(12): 1777-1805 (2007)
181		Sanjay Jain, Yen Kaow Ng, Tiong Seng Tay: Learning languages in a union. J. Comput. Syst. Sci. 73(1): 89-108 (2007)
180		Sanjay Jain, Jochen Nessel, Frank Stephan: Invertible classes. Theor. Comput. Sci. 384(1): 49-65 (2007)
179		Sanjay Jain, Steffen Lange, Sandra Zilles: A general comparison of language learning from examples and from queries. Theor. Comput. Sci. 387(1): 51-66 (2007)
178		Sanjay Jain, Efim B. Kinber: Learning multiple languages in groups. Theor. Comput. Sci. 387(1): 67-76 (2007)
177		Sanjay Jain, Efim B. Kinber: Learning languages from positive data and a limited number of short counterexamples. Theor. Comput. Sci. 389(1-2): 190-218 (2007)
	2006
176		Sanjay Jain, Efim B. Kinber: Learning and Extending Sublanguages. ALT 2006: 139-153
175		Sanjay Jain, Efim B. Kinber: Iterative Learning from Positive Data and Negative Counterexamples. ALT 2006: 154-168
174		Sanjay Jain, Steffen Lange, Sandra Zilles: Towards a Better Understanding of Incremental Learning. ALT 2006: 169-183
173		Lorenzo Carlucci, John Case, Sanjay Jain, Frank Stephan: Memory-Limited U-Shaped Learning. COLT 2006: 244-258
172		Sanjay Jain, Efim B. Kinber: On Learning Languages from Positive Data and a Limited Number of Short Counterexamples. COLT 2006: 259-273
171		Sanjay Jain, Frank Stephan: Some Recent Results in U-Shaped Learning. TAMC 2006: 421-431
170		Sanjay Jain, Jochen Nessel, Frank Stephan: Invertible Classes. TAMC 2006: 707-720
169		Sanjay Jain, Charles R. McLean: A concept prototype for integrated gaming and simulation for incident management. Winter Simulation Conference 2006: 493-500
168		John Case, Keh-Jiann Chen, Sanjay Jain, Wolfgang Merkle, James S. Royer: Generality's price: Inescapable deficiencies in machine-learned programs. Ann. Pure Appl. Logic 139(1-3): 303-326 (2006)
167		Areejit Samal, Shalini Singh, Varun Giri, Sandeep Krishna, Nandula Raghuram, Sanjay Jain: Low degree metabolites explain essential reactions and enhance modularity in biological networks. BMC Bioinformatics 7: 118 (2006)
166		Sanjay Jain, Efim B. Kinber: Learning languages from positive data and a finite number of queries. Inf. Comput. 204(1): 123-175 (2006)
165		Lorenzo Carlucci, Sanjay Jain, Efim B. Kinber, Frank Stephan: Variations on U-shaped learning. Inf. Comput. 204(8): 1264-1294 (2006)
164		John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan: Identifying Clusters from Positive Data. SIAM J. Comput. 36(1): 28-55 (2006)
163		John Case, Sanjay Jain, Rüdiger Reischuk, Frank Stephan, Thomas Zeugmann: Learning a subclass of regular patterns in polynomial time. Theor. Comput. Sci. 364(1): 115-131 (2006)
	2005
162		Sanjay Jain, Hans-Ulrich Simon, Etsuji Tomita: Algorithmic Learning Theory, 16th International Conference, ALT 2005, Singapore, October 8-11, 2005, Proceedings Springer 2005
161		Sanjay Jain, Hans-Ulrich Simon, Etsuji Tomita: Editors' Introduction. ALT 2005: 1-9
160		Sanjay Jain, Steffen Lange, Sandra Zilles: Gold-Style and Query Learning Under Various Constraints on the Target Class. ALT 2005: 226-240
159		Lorenzo Carlucci, John Case, Sanjay Jain, Frank Stephan: Non U-Shaped Vacillatory and Team Learning. ALT 2005: 241-255
158		Sanjay Jain, Efim B. Kinber: Learning Multiple Languages in Groups. ALT 2005: 256-268
157		Sanjay Jain, Eric Martin, Frank Stephan: Absolute Versus Probabilistic Classification in a Logical Setting. ALT 2005: 327-342
156		Lorenzo Carlucci, Sanjay Jain, Efim B. Kinber, Frank Stephan: Variations on U-Shaped Learning. COLT 2005: 382-397
155		Sanjay Jain, Swee Leong: Stress testing a supply chain using simulation. Winter Simulation Conference 2005: 1650-1657
154		Sanjay Jain, Charles R. McLean: Integrated simulation and gaming architecture for incident management training. Winter Simulation Conference 2005: 904-913
153		John Case, Sanjay Jain, Franco Montagna, Giulia Simi, Andrea Sorbi: On learning to coordinate: random bits help, insightful normal forms, and competency isomorphisms. J. Comput. Syst. Sci. 71(3): 308-332 (2005)
152		Wilfred Amaldoss, Sanjay Jain: Conspicuous Consumption and Sophisticated Thinking. Management Science 51(10): 1449-1466 (2005)
151		Hiroki Arimura, Sanjay Jain: Preface. Theor. Comput. Sci. 348(1): 1-2 (2005)
	2004
150		Sanjay Jain, Efim B. Kinber: Learning Languages from Positive Data and Negative Counterexamples. ALT 2004: 54-68
149		Sanjay Jain, Efim B. Kinber: Learning Languages from Positive Data and a Finite Number of Queries. FSTTCS 2004: 360-371
148		John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan: Identifying Clusters from Positive Data. ICGI 2004: 103-114
147		Sanjay Jain: Supply Chain Management Tradeoffs Analysis. Winter Simulation Conference 2004: 1358-1364
146		John Case, Sanjay Jain, Rüdiger Reischuk, Frank Stephan, Thomas Zeugmann: A Polynomial Time Learner for a Subclass of Regular Patterns Electronic Colloquium on Computational Complexity (ECCC)(038): (2004)
145		John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan: Identifying Clusters from Positive Data Electronic Colloquium on Computational Complexity (ECCC)(058): (2004)
144		Sanjay Jain, Frank Stephan, Sebastiaan Terwijn: Counting extensional differences in BC-learning. Inf. Comput. 188(1): 127-142 (2004)
143		Sanjay Jain, Wolfram Menzel, Frank Stephan: Classes with easily learnable subclasses. Inf. Comput. 190(1): 81-99 (2004)
142		Sanjay Jain, Efim B. Kinber, Rolf Wiehagen: Learning all subfunctions of a function. Inf. Comput. 192(2): 185-215 (2004)
141		John Case, Sanjay Jain, Frank Stephan, Rolf Wiehagen: Robust learning--rich and poor. J. Comput. Syst. Sci. 69(2): 123-165 (2004)
140		Andris Ambainis, John Case, Sanjay Jain, Mandayam Suraj: Parsimony hierarchies for inductive inference. J. Symb. Log. 69(1): 287-327 (2004)
139		Sanjay Jain, Frank Stephan: Learning how to separate. Theor. Comput. Sci. 313(2): 209-228 (2004)
	2003
138		John Case, Sanjay Jain, Rüdiger Reischuk, Frank Stephan, Thomas Zeugmann: Learning a Subclass of Regular Patterns in Polynomial Time. ALT 2003: 234-246
137		John Case, Keh-Jiann Chen, Sanjay Jain, Wolfgang Merkle, James S. Royer: Generality's Price: Inescapable Deficiencies in Machine-Learned Programs. COLT 2003: 684-698
136		John Case, Sanjay Jain, Franco Montagna, Giulia Simi, Andrea Sorbi: On Learning to Coordinate: Random Bits Help, Insightful Normal Forms, and Competency Isomorphisms. COLT 2003: 699-713
135		Sanjay Jain, Efim B. Kinber, Rolf Wiehagen: Learning All Subfunctions of a Function. COLT 2003: 714-728
134		Sanjay Jain, Charles R. McLean: Simulation for emergency response: a framework for modeling and simulation for emergency response. Winter Simulation Conference 2003: 1068-1076
133		Sanjay Jain: The Intrinsic Complexity of Learning: A Survey. Fundam. Inform. 57(1): 17-37 (2003)
132		Sanjay Jain, Efim B. Kinber, Christophe Papazian, Carl H. Smith, Rolf Wiehagen: On the intrinsic complexity of learning recursive functions. Inf. Comput. 184(1): 45-70 (2003)
131		Sanjay Jain, Frank Stephan: Learning by switching type of information. Inf. Comput. 185(1): 89-104 (2003)
130		Sanjay Jain, Efim B. Kinber: Intrinsic complexity of learning geometrical concepts from positive data. J. Comput. Syst. Sci. 67(3): 546-607 (2003)
129		Sanjay Jain, Efim B. Kinber, Rolf Wiehagen, Thomas Zeugmann: On learning of functions refutably. Theor. Comput. Sci. 1(298): 111-143 (2003)
	2002
128		Sanjay Jain, Wolfram Menzel, Frank Stephan: Classes with Easily Learnable Subclasses. ALT 2002: 218-232
127		Sanjay Jain, Ngai Fong Choong, William G. K. Lee: Manufacturing supply chain applications: modeling computer assembly operations for supply chain integration. Winter Simulation Conference 2002: 1165-1173
126		Jerry Banks, Sanjay Jain, Stephen J. Buckley, Peter Lendermann, Mani S. Manivannan: Supply chain opportunities: panel session: opportunities for simulation in supply chain management. Winter Simulation Conference 2002: 1652-1658
125		John Case, Sanjay Jain, Mandayam Suraj: Control structures in hypothesis spaces: the influence on learning. Theor. Comput. Sci. 270(1-2): 287-308 (2002)
124		Sanjay Jain, Arun Sharma: Mind change complexity of learning logic programs. Theor. Comput. Sci. 284(1): 143-160 (2002)
	2001
123		Sanjay Jain, Frank Stephan: Learning by Switching Type of Information. ALT 2001: 205-218
122		Sanjay Jain, Frank Stephan: Learning How to Separate. ALT 2001: 219-234
121		Sanjay Jain, Yen Kaow Ng, Tiong Seng Tay: Learning Languages in a Union. ALT 2001: 235-250
120		Sanjay Jain, Efim B. Kinber, Rolf Wiehagen, Thomas Zeugmann: Learning Recursive Functions Refutably. ALT 2001: 283-298
119		John Case, Sanjay Jain, Frank Stephan, Rolf Wiehagen: Robust Learning - Rich and Poor. COLT/EuroCOLT 2001: 143-159
118		Sanjay Jain, Efim B. Kinber: Intrinsic Complexity of Learning Geometrical Concepts from Positive Data. COLT/EuroCOLT 2001: 177-193
117		Deepankar Medhi, Sanjay Jain, Deepa Shenoy Ramam, T. Srinivasa Rao, Mukunda Saddi, Fred Summa: A Network Management Framework for Multi-Layered Network Survivability: An Overview. Integrated Network Management 2001: 293-296
116		Sanjay Jain, Eric C. Ervin, Andrew P. Lathrop, Russell W. Workman, Lisa M. Collins: Analyzing the supply chain for a large logistics operation using simulation. Winter Simulation Conference 2001: 1123-1128
115		Sanjay Jain, Russell W. Workman, Lisa M. Collins, Eric C. Ervin, Andrew P. Lathrop: Supply chain applications II: development of a high-level supply chain simulation model. Winter Simulation Conference 2001: 1129-1137
114		Sanjay Jain, Carl H. Smith, Rolf Wiehagen: Robust Learning Is Rich. J. Comput. Syst. Sci. 62(1): 178-212 (2001)
113		John Case, Sanjay Jain: Synthesizing Learners Tolerating Computable Noisy Data. J. Comput. Syst. Sci. 62(3): 413-441 (2001)
112		Sanjay Jain, Efim B. Kinber, Rolf Wiehagen: Language Learning from Texts: Degrees of Intrinsic Complexity and Their Characterizations. J. Comput. Syst. Sci. 63(3): 305-354 (2001)
111		Sanjay Jain: On an open problem in classification of languages. J. Exp. Theor. Artif. Intell. 13(2): 113-118 (2001)
110		Sanjay Jain, Jochen Nessel: Some Independence Results for Control Structures in Complete Numberings. J. Symb. Log. 66(1): 357-382 (2001)
109		Boon-Ping Gan, Yoke-Hean Low, Wentong Cai, Stephen John Turner, Sanjay Jain, Wen-Jing Hsu, Shell-Ying Huang: The Development of Conservative Superstep Protocols for Shared Memory Multiprocessor Systems. Scalable Computing: Practice and Experience 4(1): (2001)
108		Sanjay Jain: Branch and bound on the network model. Theor. Comput. Sci. 255(1-2): 107-123 (2001)
107		John Case, Keh-Jiann Chen, Sanjay Jain: Costs of general purpose learning. Theor. Comput. Sci. 259(1-2): 455-473 (2001)
106		Sanjay Jain, Steffen Lange, Jochen Nessel: On the learnability of recursively enumerable languages from good examples. Theor. Comput. Sci. 261(1): 3-29 (2001)
105		John Case, Sanjay Jain, Arun Sharma: Synthesizing noise-tolerant language learners. Theor. Comput. Sci. 261(1): 31-56 (2001)
104		John Case, Sanjay Jain, Susanne Kaufmann, Arun Sharma, Frank Stephan: Predictive learning models for concept drift. Theor. Comput. Sci. 268(2): 323-349 (2001)
	2000
103		Hiroki Arimura, Sanjay Jain, Arun Sharma: Algorithmic Learning Theory, 11th International Conference, ALT 2000, Sydney, Australia, December 11-13, 2000, Proceedings Springer 2000
102		Sanjay Jain, Efim B. Kinber, Rolf Wiehagen: Language Learning From Texts: Degrees of Instrinsic Complexity and Their Characterizations. COLT 2000: 47-58
101		Boon-Ping Gan, Yoke-Hean Low, Sanjay Jain, Stephen John Turner, Wentong Cai, Wen-Jing Hsu, Shell-Ying Huang: Load balancing for conservative simulation on shared memory multiprocessor systems. PADS 2000: 139-146
100		Boon-Ping Gan, Li Liu, Sanjay Jain, Stephen John Turner, Wentong Cai, Wen-Jing Hsu: Manufacturing sypply chain management: distributed supply chain simulation across enterprise boundaries. Winter Simulation Conference 2000: 1245-1251
99		John Case, Sanjay Jain, Matthias Ott, Arun Sharma, Frank Stephan: Robust Learning Aided by Context. J. Comput. Syst. Sci. 60(2): 234-257 (2000)
98		John Case, Sanjay Jain, Frank Stephan: Vacillatory and BC learning on noisy data. Theor. Comput. Sci. 241(1-2): 115-141 (2000)
97		Sanjay Jain, Efim B. Kinber, Steffen Lange, Rolf Wiehagen, Thomas Zeugmann: Learning languages and functions by erasing. Theor. Comput. Sci. 241(1-2): 143-189 (2000)
96		Sanjay Jain, Arun Sharma: Team Learning of Computable Languages. Theory Comput. Syst. 33(1): 35-58 (2000)
	1999
95		Sanjay Jain, Arun Sharma: On a Generalized Notion of Mistake Bounds. COLT 1999: 249-256
94		Sanjay Jain, Arun Sharma: Mind Change Complexity of Learning Logic Programs. EuroCOLT 1999: 198-213
93		John Case, Keh-Jiann Chen, Sanjay Jain: Costs of General Purpose Learning. STACS 1999: 424-433
92		Sanjay Jain: Simulation in the next millennium. Winter Simulation Conference 1999: 1478-1484
91		Sanjay Jain, Chu-Cheow Lim, Boon-Ping Gan, Yoke-Hean Low: Criticality of detailed modeling in semiconductor supply chain simulation. Winter Simulation Conference 1999: 888-896
90		Chu-Cheow Lim, Yoke-Hean Low, Boon-Ping Gan, Sanjay Jain, Wentong Cai, Wen-Jing Hsu, Shell-Ying Huang: Performance Prediction Tools for Parallel Discrete-Event Simulation. Workshop on Parallel and Distributed Simulation 1999: 148-155
89		Ganesh Baliga, John Case, Sanjay Jain: The Synthesis of Language Learners. Inf. Comput. 152(1): 16-43 (1999)
88		John Case, Sanjay Jain, Steffen Lange, Thomas Zeugmann: Incremental Concept Learning for Bounded Data Mining. Inf. Comput. 152(1): 74-110 (1999)
87		Sanjay Jain: Robust Behaviorally Correct Learning. Inf. Comput. 153(1): 238-248 (1999)
86		Sanjay Jain: On a Question of Nearly Minimal Identification of Functions. Inf. Process. Lett. 70(3): 113-117 (1999)
85		Andris Ambainis, Sanjay Jain, Arun Sharma: Ordinal Mind Change Complexity of Language Identification. Theor. Comput. Sci. 220(2): 323-343 (1999)
	1998
84		John Case, Sanjay Jain: Synthesizing Learners Tolerating Computable Noisy Data. ALT 1998: 205-219
83		John Case, Sanjay Jain, Susanne Kaufmann, Arun Sharma, Frank Stephan: Predictive Learning Models for Concept Drift. ALT 1998: 276-290
82		Sanjay Jain: Learning with Refutation. ALT 1998: 291-305
81		Sanjay Jain, Carl H. Smith, Rolf Wiehagen: On the Power of Learning Robustly. COLT 1998: 187-197
80		John Case, Sanjay Jain, Matthias Ott, Arun Sharma, Frank Stephan: Robust Learning Aided by Context. COLT 1998: 44-55
79		Chu-Cheow Lim, Yoke-Hean Low, Boon-Ping Gan, Sanjay Jain: Implementations of Dispatch Rules in Parallel Manufacturing Simulation. Winter Simulation Conference 1998: 1591-1598
78		Sanjay Jain, Arun Sharma: Generalization and Specialization Strategies for Learning r.e. Languages. Ann. Math. Artif. Intell. 23(1-2): 1-26 (1998)
77		Sanjay Jain: Minimal Concept Identification and Reliability. Int. J. Found. Comput. Sci. 9(3): 315-320 (1998)
76		Sanjay Jain: Learning with Refutation. J. Comput. Syst. Sci. 57(3): 356-365 (1998)
	1997
75		Hon Wai Leong, Hiroshi Imai, Sanjay Jain: Algorithms and Computation, 8th International Symposium, ISAAC '97, Singapore, December 17-19, 1997, Proceedings Springer 1997
74		John Case, Sanjay Jain, Arun Sharma: Synthesizing Noise-Tolerant Language Learners. ALT 1997: 228-243
73		Sanjay Jain, Steffen Lange, Jochen Nessel: Learning of R.E. Languages from Good Examples. ALT 1997: 32-47
72		John Case, Sanjay Jain, Mandayam Suraj: Control Structures in Hypothesis Spaces: The Influence on Learning. EuroCOLT 1997: 286-300
71		Andris Ambainis, Sanjay Jain, Arun Sharma: Ordinal Mind Change Complexity of Language Identification. EuroCOLT 1997: 301-315
70		Sanjay Jain, Stephen Chan: Experiences with Backward Simulation Based Approach for Lot Release Planning. Winter Simulation Conference 1997: 773-780
69		Sanjay Jain, Arun Sharma: Characterizing Language Identification in Terms of Computable Numberings. Ann. Pure Appl. Logic 84(1): 51-72 (1997)
68		Sanjay Jain, Arun Sharma: Elementary Formal Dystems, Intrinsic Complexity, and Procrastination. Inf. Comput. 132(1): 65-84 (1997)
67		Sanjay Jain: Strong monotonic and set-driven inductive inference. J. Exp. Theor. Artif. Intell. 9(1): 137-143 (1997)
66		Sanjay Jain, Arun Sharma: The Structure of Intrinsic Complexity of Learning. J. Symb. Log. 62(4): 1187-1201 (1997)
65		Ganesh Baliga, Sanjay Jain, Arun Sharma: Learning from Multiple Sources of Inaccurate Data. SIAM J. Comput. 26(4): 961-990 (1997)
64		Rusins Freivalds, Sanjay Jain: Kolmogorov Numberings and Minimal Identification. Theor. Comput. Sci. 188(1-2): 175-194 (1997)
	1996
63		Sanjay Jain, Efim B. Kinber, Rolf Wiehagen: On Learning and Co-learning of Minimal Programs. ALT 1996: 242-255
62		John Case, Sanjay Jain, Frank Stephan: Vacillatory and BC Learning on Noisy Data. ALT 1996: 285-298
61		Ganesh Baliga, John Case, Sanjay Jain: Synthesizing Enumeration Techniques for Language Learning. COLT 1996: 169-180
60		Sanjay Jain, Arun Sharma: Elementary Formal Systems, Intrinsic Complexity, and Procrastination. COLT 1996: 181-192
59		Sanjay Jain, Arun Sharma: Team Learning of Recursive Languages. PRICAI 1996: 324-335
58		John Case, Sanjay Jain, Arun Sharma: Machine Induction Without Revolutionary Changes in Hypothesis Size. Inf. Comput. 128(2): 73-86 (1996)
57		Sanjay Jain, Arun Sharma: Computational Limits on Team Identification of Languages. Inf. Comput. 130(1): 19-60 (1996)
56		Sanjay Jain, Arun Sharma: The Intrinsic Complexity of Language Identification. J. Comput. Syst. Sci. 52(3): 393-402 (1996)
55		Sanjay Jain: Program Synthesis in the Presence of Infinite Number of Inaccuracies. J. Comput. Syst. Sci. 53(3): 583-591 (1996)
54		Mark A. Fulk, Sanjay Jain: Learning in the Presence of Inaccurate Information. Theor. Comput. Sci. 161(1&2): 235-261 (1996)
53		John Case, Sanjay Jain, Arun Sharma: Anomalous Learning Helps Succinctness. Theor. Comput. Sci. 164(1&2): 13-28 (1996)
	1995
52		John Case, Sanjay Jain, Arun Sharma: Machine Induction Without Revolutionary Paradigm Shifts. ALT 1995: 153-168
51		Sanjay Jain, Arun Sharma: The structure of intrinsic complexity of learning. EuroCOLT 1995: 169-181
50		Rusins Freivalds, Sanjay Jain: Kolmogorov numberings and minimal identification. EuroCOLT 1995: 182-195
49		Sanjay Jain: Branch and Bound on the Network Model. FSTTCS 1995: 11-21
48		Sanjay Jain, Arun Sharma: On Identification by Teams and Probabilistic Machines. GOSLER Final Report 1995: 108-145
47		John Case, Mandayam Suraj, Sanjay Jain: Not-So-Nearly-Minimal-Size Program Inference. GOSLER Final Report 1995: 76-95
46		John Case, Sanjay Jain, Arun Sharma: Complexity Issues for Vacillatory Function Identification Inf. Comput. 116(2): 174-192 (1995)
45		Sanjay Jain, Arun Sharma, Mahendran Velauthapillai: Finite Identification of Functions by Teams with Success Ratio 1\over2 and Above Inf. Comput. 121(2): 201-213 (1995)
44		Sanjay Jain: On a Question About Learning Nearly Minimal Programs. Inf. Process. Lett. 53(1): 1-4 (1995)
43		Sanjay Jain: An Infinite Class of Functions Identifiable Using Minimal Programs in all Kolmogorov Numberings. Int. J. Found. Comput. Sci. 6(1): 89-94 (1995)
42		Ganesh Baliga, John Case, Sanjay Jain: Language Learning with Some Negative Information. J. Comput. Syst. Sci. 51(2): 273-285 (1995)
41		Sanjay Jain, Arun Sharma: Prudence in Vacillatory Language Identification. Mathematical Systems Theory 28(3): 267-279 (1995)
40		Sanjay Jain, Arun Sharma: On Aggregating Teams of Learning Machines. Theor. Comput. Sci. 137(1): 85-108 (1995)
	1994
39		Sanjay Jain: Program Synthesis in the Presence of Infinite Number of Inaccuracies. AII/ALT 1994: 333-348
38		Sanjay Jain, Arun Sharma: On Monotonic Strategies for Learning r.e. Languages. AII/ALT 1994: 349-364
37		Sanjay Jain, Arun Sharma: On the Intrinsic Complexity of Language Identification. COLT 1994: 278-286
36		Chee-Kong Chui, Sanjay Jain, Raghu Raghavan: Topology Independent Models for Parallel Computation. Parcella 1994: 119-129
35		Lance Fortnow, William I. Gasarch, Sanjay Jain, Efim B. Kinber, Martin Kummer, Stuart A. Kurtz, Mark Pleszkovich, Theodore A. Slaman, Robert Solovay, Frank Stephan: Extremes in the Degrees of Inferability. Ann. Pure Appl. Logic 66(3): 231-276 (1994)
34		Mark A. Fulk, Sanjay Jain: Approximate Inference and Scientific Method Inf. Comput. 114(2): 179-191 (1994)
33		Sanjay Jain, Arun Sharma: Characterizing Language Identification by Standardizing Operations. J. Comput. Syst. Sci. 49(1): 96-107 (1994)
32		John Case, Sanjay Jain, Arun Sharma: Vacillatory Learning of Nearly Minimal Size Grammars. J. Comput. Syst. Sci. 49(2): 189-207 (1994)
31		Mark A. Fulk, Sanjay Jain, Daniel N. Osherson: Open Problems in "Systems That Learn". J. Comput. Syst. Sci. 49(3): 589-604 (1994)
30		Ganesh Baliga, John Case, Sanjay Jain, Mandayam Suraj: Machine Learning of Higher-Order Programs. J. Symb. Log. 59(2): 486-500 (1994)
29		Sanjay Jain, Arun Sharma: Program Size Restrictions in Computational Learning. Theor. Comput. Sci. 127(2): 351-386 (1994)
	1993
28		Sanjay Jain, Arun Sharma: On Aggregating Teams of Learning Machines. ALT 1993: 150-163
27		Sanjay Jain, Arun Sharma: Probability is More Powerful Than Team for Language Identification from Positive Data. COLT 1993: 192-198
26		Ganesh Baliga, John Case, Sanjay Jain: Language Learning With Some Negative Information. STACS 1993: 672-681
25		Sanjay Jain, Arun Sharma: Learning with the Knowledge of an Upper Bound on Program Size Inf. Comput. 102(1): 118-166 (1993)
24		Sanjay Jain, Arun Sharma: On the Non-Existence of Maximal Inference Degrees for Language Identification. Inf. Process. Lett. 47(2): 81-88 (1993)
23		Lane A. Hemaspaandra, Sanjay Jain, Nikolai K. Vereshchagin: Banishing Robust Turing Completeness. Int. J. Found. Comput. Sci. 4(3): 245-265 (1993)
	1992
22		Ganesh Baliga, Sanjay Jain, Arun Sharma: Learning from Multiple Sources of Inaccurate Data. AII 1992: 108-128
21		John Case, Keh-Jiann Chen, Sanjay Jain: Strong Separation of Learning Classes. AII 1992: 129-139
20		Sanjay Jain, Arun Sharma: Prudence in Vacillatory Language Identification (Extended Abstract). ALT 1992: 159-168
19		John Case, Sanjay Jain, Arun Sharma: On Learning Limiting Programs. COLT 1992: 193-202
18		Lane A. Hemachandra, Sanjay Jain, Nikolai K. Vereshchagin: Banishing Robust Turing Completeness. LFCS 1992: 186-197
17		Ganesh Baliga, John Case, Sanjay Jain, Mandayam Suraj: Machine Learning of Higher Order Programs. LFCS 1992: 9-20
16		John Case, Sanjay Jain, Arun Sharma: On Learning Limiting Programs. Int. J. Found. Comput. Sci. 3(1): 93-115 (1992)
15		John Case, Keh-Jiann Chen, Sanjay Jain: Strong separation of learning classes. J. Exp. Theor. Artif. Intell. 4(4): 281-293 (1992)
	1991
14		John Case, Sanjay Jain, Arun Sharma: Complexity Issues for Vacillatory Function Identification. FSTTCS 1991: 121-140
13		Sanjay Jain, Arun Sharma: Learning in the Presence of Partial Explanations Inf. Comput. 95(2): 162-191 (1991)
12		Lane A. Hemachandra, Sanjay Jain: On the Limitations of Locally Robust Positive Reductions. Int. J. Found. Comput. Sci. 2(3): 237-255 (1991)
	1990
11		Mark A. Fulk, Sanjay Jain: Approximate Inference and Scientific Method. ALT 1990: 256-265
10		John Case, Sanjay Jain, Arun Sharma: Anomalous Learning Helps Succinctness (Extended Abstract). ALT 1990: 282-288
9		Sanjay Jain, Arun Sharma: Finite Learning by a "Team". COLT 1990: 163-177
8		Sanjay Jain, Arun Sharma: Language Learning by a "Team" (Extended Abstract). ICALP 1990: 153-166
7		Sanjay Jain, Arun Sharma: Hypothesis Formation and Language Acquisition with an Infinitely-Often Correct Teacher. TARK 1990: 225-239
6		Sanjay Jain, Karon Barber, David Osterfeld: Expert Simulation for On-Line Scheduling. Commun. ACM 33(10): 54-60 (1990)
	1989
5		Mark A. Fulk, Sanjay Jain: Learning in the Presence of Inaccurate Information. COLT 1989: 175-188
4		Sanjay Jain, Arun Sharma, John Case: Convergence to Nearly Minimal Size Grammars by Vacillating Learning Machines. COLT 1989: 189-199
3		Lane A. Hemachandra, Sanjay Jain: On the Limitations of Locally Robust Positive Reductions. FSTTCS 1989: 193-203
2		Sanjay Jain, Karon Barber, David Osterfeld: Expert simulation for on-line scheduling. Winter Simulation Conference 1989: 930-935
	1987
1		Thomas J. LeBlanc, Sanjay Jain: Crowd Control: Coordinating Processes in Parallel. ICPP 1987: 81-84

Coauthor Index

1	Wilfred Amaldoss	[152] [198] [200] [226]
2	Andris Ambainis	[71] [85] [140]
3	Hiroki Arimura	[103] [151]
4	Ganesh Baliga	[17] [22] [26] [30] [42] [61] [65] [89]
5	Jerry Banks	[126]
6	Karon Barber	[2] [6]
7	Leonor Becerra-Bonache	[207] [225]
8	Stephen J. Buckley	[126]
9	Wentong Cai	[90] [100] [101] [109]
10	Lorenzo Carlucci	[156] [159] [165] [173] [184] [190] [202] [213]
11	John Case	[4] [10] [14] [15] [16] [17] [19] [21] [26] [30] [32] [42] [46] [47] [52] [53] [58] [61] [62] [72] [74] [80] [83] [84] [88] [89] [93] [98] [99] [104] [105] [107] [113] [119] [125] [136] [137] [138] [140] [141] [145] [146] [148] [153] [159] [163] [164] [168] [173] [184] [190] [202] [207] [213] [225] [231] [239] [245] [246] [252]
12	Stephen Chan	[70]
13	Keh-Jiann Chen	[15] [21] [93] [107] [137] [168]
14	Ngai Fong Choong	[127]
15	Chee-Kong Chui	[36]
16	Lisa M. Collins	[115] [116]
17	Andreas Craens	[185]
18	Eric C. Ervin	[115] [116]
19	Lance Fortnow	[35]
20	Rusins Freivalds	[50] [64]
21	Mark A. Fulk	[5] [11] [31] [34] [54]
22	Boon-Ping Gan	[79] [90] [91] [100] [101] [109]
23	William I. Gasarch	[35]
24	Varun Giri	[167]
25	Lane A. Hemaspaandra (Lane A. Hemachandra)	[3] [12] [18] [23]
26	Wen-Jing Hsu	[90] [100] [101] [109]
27	Shell-Ying Huang	[90] [101] [109]
28	Charles W. Hutchings	[234]
29	Hiroshi Imai	[75]
30	P. K. Kannan	[212]
31	Susanne Kaufmann	[83] [104]
32	Deogratias Kibira	[185] [235]
33	Efim B. Kinber	[35] [63] [97] [102] [112] [118] [120] [129] [130] [132] [135] [142] [149] [150] [156] [158] [165] [166] [172] [175] [176] [177] [178] [182] [193] [194] [201] [209] [222] [237] [240] [251]
34	Sandeep Krishna	[167]
35	Martin Kummer	[35]
36	Stuart A. Kurtz	[35]
37	Steffen Lange	[73] [88] [97] [106] [160] [174] [179] [183] [224]
38	Andrew P. Lathrop	[115] [116]
39	Trong Dao Le	[245]
40	Thomas J. LeBlanc	[1]
41	William G. K. Lee	[127]
42	Y. Tina Lee (Yung-Tsun Tina Lee)	[186] [187] [234]
43	Peter Lendermann	[126]
44	Hon Wai Leong (Hon-Wai Leong)	[75]
45	Swee Leong	[155]
46	Lingrui Liao	[214]
47	Chu-Cheow Lim	[79] [90] [91]
48	Li Liu	[100]
49	Shiyong Liu	[243]
50	Malcolm Yoke-Hean Low (Yoke-Hean Low)	[79] [90] [91] [101] [109]
51	Qinglong Luo	[223] [236] [238]
52	Mani S. Manivannan	[126]
53	Eric Martin	[145] [148] [157] [164] [188] [195] [208] [247] [248]
54	Charles R. McLean	[134] [154] [169] [186] [187] [196] [217] [234]
55	Deep Medhi (Deepankar Medhi, D. Medhi)	[117]
56	Wolfram Menzel	[128] [143]
57	Wolfgang Merkle	[137] [168]
58	Samuel E. Moelius	[224]
59	Franco Montagna	[136] [153]
60	Balaji Nagarajan	[214]
61	Jochen Nessel	[73] [106] [110] [170] [180]
62	Yen Kaow Ng	[121] [181]
63	Yuh Shin Ong	[228] [245] [246]
64	Daniel N. Osherson	[31]
65	David Osterfeld	[2] [6]
66	Matthias Ott	[80] [99]
67	Christophe Papazian	[132]
68	Mark Pleszkovich	[35]
69	Barbara Kline Pope	[212]
70	Raghu Raghavan	[36]
71	Nandula Raghuram	[167]
72	Deepa Shenoy Ramam	[117]
73	T. Srinivasa Rao	[117]
74	Rüdiger Reischuk	[138] [146] [163]
75	Frank Riddick	[185] [186]
76	James S. Royer	[137] [168]
77	Mukunda Saddi	[117]
78	Areejit Samal	[167]
79	Subhash C. Sarin	[214]
80	Samuel Seah	[252]
81	Pavel Semukhin	[223] [238] [245] [246]
82	Arun Sharma	[4] [7] [8] [9] [10] [13] [14] [16] [19] [20] [22] [24] [25] [27] [28] [29] [32] [33] [37] [38] [40] [41] [45] [46] [48] [51] [52] [53] [56] [57] [58] [59] [60] [65] [66] [68] [69] [71] [74] [78] [80] [83] [85] [94] [95] [96] [99] [103] [104] [105] [124] [145] [148] [164]
83	Giulia Simi	[136] [153]
84	Hans Ulrich Simon (Hans-Ulrich Simon)	[161] [162]
85	Shalini Singh	[167]
86	Theodore A. Slaman	[35]
87	Carl H. Smith	[81] [114] [132]
88	Robert Solovay	[35]
89	Andrea Sorbi	[136] [153]
90	Frank Stephan	[35] [62] [80] [83] [98] [99] [104] [119] [122] [123] [128] [131] [138] [139] [141] [143] [144] [145] [146] [148] [156] [157] [159] [163] [164] [165] [170] [171] [173] [180] [184] [188] [189] [191] [192] [195] [197] [202] [203] [204] [206] [207] [208] [210] [219] [220] [221] [223] [225] [227] [228] [229] [230] [232] [233] [236] [238] [241] [244] [245] [246] [247] [248] [250] [252]
91	Fred Summa	[117]
92	Mandayam Suraj	[17] [30] [47] [72] [125] [140]
93	Tiong Seng Tay	[121] [181]
94	Sebastiaan Terwijn (Sebastiaan A. Terwijn)	[144]
95	Jason Teutsch	[219] [241] [244]
96	Etsuji Tomita	[161] [162]
97	Konstantinos P. Triantis	[243]
98	Stephen John Turner	[100] [101] [109]
99	Mahendran Velauthapillai (Mahe Velauthapillai)	[45]
100	Nikolai K. Vereshchagin (Nikolay K. Vereshchagin)	[18] [23]
101	Rolf Wiehagen	[63] [81] [97] [102] [112] [114] [119] [120] [129] [132] [135] [141] [142]
102	Russell W. Workman	[115] [116]
103	Nan Ye	[192] [204] [210] [221]
104	Thomas Zeugmann	[88] [97] [120] [129] [138] [146] [163] [250]
105	Sandra Zilles	[160] [174] [179] [183] [224]

Colors in the list of coauthors

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