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ORCIDJohn Case
Publications
- 2018
[j67]John Case, Sanjay Jain
, Frank Stephan:
Effectivity questions for Kleene's recursion theorem. Theor. Comput. Sci. 733: 55-70 (2018)- 2017
- [r2]John Case, Sanjay Jain:
Connections Between Inductive Inference and Machine Learning. Encyclopedia of Machine Learning and Data Mining 2017: 261-272 - 2014
- [j63]John Case, Sanjay Jain, Yuh Shin Ong, Pavel Semukhin, Frank Stephan:
Automatic learners with feedback queries. J. Comput. Syst. Sci. 80(4): 806-820 (2014) - 2013
- [j62]John Case, Sanjay Jain, Samuel Seah, Frank Stephan:
Automatic functions, linear time and learning. Log. Methods Comput. Sci. 9(3) (2013) - [c59]John Case, Sanjay Jain, Frank Stephan:
Effectivity Questions for Kleene's Recursion Theorem. LFCS 2013: 89-103 - 2012
- [j59]John Case, Sanjay Jain, Trong Dao Le, Yuh Shin Ong, Pavel Semukhin, Frank Stephan:
Automatic learning of subclasses of pattern languages. Inf. Comput. 218: 17-35 (2012) - [c58]John Case, Sanjay Jain, Samuel Seah, Frank Stephan:
Automatic Functions, Linear Time and Learning. CiE 2012: 96-106 - 2011
- [j53]John Case, Sanjay Jain:
Rice and Rice-Shapiro Theorems for transfinite correction grammars. Math. Log. Q. 57(5): 504-516 (2011) - [c57]John Case, Sanjay Jain, Yuh Shin Ong, Pavel Semukhin, Frank Stephan:
Automatic Learners with Feedback Queries. CiE 2011: 31-40 - [c56]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 - 2010
- [j52]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) - [r1]John Case, Sanjay Jain:
Connections Between Inductive Inference and Machine Learning. Encyclopedia of Machine Learning 2010: 210-219 - 2009
- [j51]Lorenzo Carlucci, John Case, Sanjay Jain:
Learning correction grammars. J. Symb. Log. 74(2): 489-516 (2009) - 2008
- [j46]Lorenzo Carlucci, John Case, Sanjay Jain, Frank Stephan:
Non-U-shaped vacillatory and team learning. J. Comput. Syst. Sci. 74(4): 409-430 (2008) - [c49]Leonor Becerra-Bonache, John Case, Sanjay Jain, Frank Stephan:
Iterative Learning of Simple External Contextual Languages. ALT 2008: 359-373 - 2007
- [j43]Lorenzo Carlucci, John Case, Sanjay Jain, Frank Stephan:
Results on memory-limited U-shaped learning. Inf. Comput. 205(10): 1551-1573 (2007) - [c40]Lorenzo Carlucci, John Case, Sanjay Jain:
Learning Correction Grammars. COLT 2007: 203-217 - 2006
- [j41]John Case, Keh-Jiann Chen, Sanjay Jain, Wolfgang Merkle, James S. Royer:
Generality's price: Inescapable deficiencies in machine-learned programs. Ann. Pure Appl. Log. 139(1-3): 303-326 (2006) - [j40]John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan:
Identifying Clusters from Positive Data. SIAM J. Comput. 36(1): 28-55 (2006) - [j39]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) - [c37]Lorenzo Carlucci, John Case, Sanjay Jain, Frank Stephan:
Memory-Limited U-Shaped Learning. COLT 2006: 244-258 - 2005
- [j38]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) - [c36]Lorenzo Carlucci, John Case, Sanjay Jain, Frank Stephan:
Non U-Shaped Vacillatory and Team Learning. ALT 2005: 241-255 - 2004
- [j36]John Case, Sanjay Jain, Frank Stephan, Rolf Wiehagen:
Robust learning--rich and poor. J. Comput. Syst. Sci. 69(2): 123-165 (2004) - [j35]Andris Ambainis, John Case, Sanjay Jain, Mandayam Suraj:
Parsimony hierarchies for inductive inference. J. Symb. Log. 69(1): 287-327 (2004) - [c35]John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan:
Identifying Clusters from Positive Data. ICGI 2004: 103-114 - [i2]John Case, Sanjay Jain, Rüdiger Reischuk, Frank Stephan, Thomas Zeugmann:
A Polynomial Time Learner for a Subclass of Regular Patterns. Electron. Colloquium Comput. Complex. TR04 (2004) - [i1]John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan:
Identifying Clusters from Positive Data. Electron. Colloquium Comput. Complex. TR04 (2004) - 2003
- [c33]John Case, Sanjay Jain, Rüdiger Reischuk, Frank Stephan, Thomas Zeugmann:
Learning a Subclass of Regular Patterns in Polynomial Time. ALT 2003: 234-246 - [c32]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 - [c31]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 - 2002
- [j32]John Case, Sanjay Jain, Mandayam Suraj:
Control structures in hypothesis spaces: the influence on learning. Theor. Comput. Sci. 270(1-2): 287-308 (2002) - 2001
- [j30]John Case, Sanjay Jain:
Synthesizing Learners Tolerating Computable Noisy Data. J. Comput. Syst. Sci. 62(3): 413-441 (2001) - [j29]John Case, Keh-Jiann Chen, Sanjay Jain:
Costs of general purpose learning. Theor. Comput. Sci. 259(1-2): 455-473 (2001) - [j28]John Case, Sanjay Jain, Arun Sharma:
Synthesizing noise-tolerant language learners. Theor. Comput. Sci. 261(1): 31-56 (2001) - [j27]John Case, Sanjay Jain, Susanne Kaufmann, Arun Sharma, Frank Stephan:
Predictive learning models for concept drift. Theor. Comput. Sci. 268(2): 323-349 (2001) - [c30]John Case, Sanjay Jain, Frank Stephan, Rolf Wiehagen:
Robust Learning - Rich and Poor. COLT/EuroCOLT 2001: 143-159 - 2000
- [j26]John Case, Sanjay Jain, Matthias Ott, Arun Sharma, Frank Stephan:
Robust Learning Aided by Context. J. Comput. Syst. Sci. 60(2): 234-257 (2000) - [j25]John Case, Sanjay Jain, Frank Stephan:
Vacillatory and BC learning on noisy data. Theor. Comput. Sci. 241(1-2): 115-141 (2000) - 1999
- [j24]Ganesh Baliga, John Case, Sanjay Jain:
The Synthesis of Language Learners. Inf. Comput. 152(1): 16-43 (1999) - [j23]John Case, Sanjay Jain, Steffen Lange, Thomas Zeugmann:
Incremental Concept Learning for Bounded Data Mining. Inf. Comput. 152(1): 74-110 (1999) - [c27]John Case, Keh-Jiann Chen, Sanjay Jain:
Costs of General Purpose Learning. STACS 1999: 424-433 - 1998
- [c25]John Case, Sanjay Jain:
Synthesizing Learners Tolerating Computable Noisy Data. ALT 1998: 205-219 - [c24]John Case, Sanjay Jain, Susanne Kaufmann, Arun Sharma, Frank Stephan:
Predictive Learning Models for Concept Drift. ALT 1998: 276-290 - [c23]John Case, Sanjay Jain, Matthias Ott, Arun Sharma, Frank Stephan:
Robust Learning Aided by Context. COLT 1998: 44-55 - 1997
- [c22]John Case, Sanjay Jain, Arun Sharma:
Synthesizing Noise-Tolerant Language Learners. ALT 1997: 228-243 - [c21]John Case, Sanjay Jain, Mandayam Suraj:
Control Structures in Hypothesis Spaces: The Influence on Learning. EuroCOLT 1997: 286-300 - 1996
- [j19]John Case, Sanjay Jain, Arun Sharma:
Machine Induction Without Revolutionary Changes in Hypothesis Size. Inf. Comput. 128(2): 73-86 (1996) - [j17]John Case, Sanjay Jain, Arun Sharma:
Anomalous Learning Helps Succinctness. Theor. Comput. Sci. 164(1&2): 13-28 (1996) - [c19]John Case, Sanjay Jain, Frank Stephan:
Vacillatory and BC Learning on Noisy Data. ALT 1996: 285-298 - [c18]Ganesh Baliga, John Case, Sanjay Jain:
Synthesizing Enumeration Techniques for Language Learning. COLT 1996: 169-180 - 1995
- [j16]John Case, Sanjay Jain, Arun Sharma:
Complexity Issues for Vacillatory Function Identification. Inf. Comput. 116(2): 174-192 (1995) - [j15]Ganesh Baliga, John Case, Sanjay Jain:
Language Learning with Some Negative Information. J. Comput. Syst. Sci. 51(2): 273-285 (1995) - [c17]John Case, Sanjay Jain, Arun Sharma:
Machine Induction Without Revolutionary Paradigm Shifts. ALT 1995: 153-168 - [c15]John Case, Mandayam Suraj, Sanjay Jain:
Not-So-Nearly-Minimal-Size Program Inference. GOSLER Final Report 1995: 76-95 - 1994
- [j14]John Case, Sanjay Jain, Arun Sharma:
Vacillatory Learning of Nearly Minimal Size Grammars. J. Comput. Syst. Sci. 49(2): 189-207 (1994) - [j11]Ganesh Baliga, John Case, Sanjay Jain, Mandayam Suraj:
Machine Learning of Higher-Order Programs. J. Symb. Log. 59(2): 486-500 (1994) - [j10]John Case, Sanjay Jain, Suzanne Ngo Manguelle:
Refinements of inductive inference by Popperian and reliable machines. Kybernetika 30(1): 23-52 (1994) - 1993
- [c12]Ganesh Baliga, John Case, Sanjay Jain:
Language Learning With Some Negative Information. STACS 1993: 672-681 - 1992
- [j9]John Case, Sanjay Jain, Arun Sharma:
On Learning Limiting Programs. Int. J. Found. Comput. Sci. 3(1): 93-115 (1992) - [j8]John Case, Keh-Jiann Chen, Sanjay Jain:
Strong separation of learning classes. J. Exp. Theor. Artif. Intell. 4(4): 281-293 (1992) - [c10]John Case, Keh-Jiann Chen, Sanjay Jain:
Strong Separation of Learning Classes. AII 1992: 129-139 - [c9]John Case, Sanjay Jain, Arun Sharma:
On Learning Limiting Programs. COLT 1992: 193-202 - [c8]Ganesh Baliga, John Case, Sanjay Jain, Mandayam Suraj:
Machine Learning of Higher Order Programs. LFCS 1992: 9-20 - 1991
- [c7]John Case, Sanjay Jain, Arun Sharma:
Complexity Issues for Vacillatory Function Identification. FSTTCS 1991: 121-140 - 1990
- [c6]John Case, Sanjay Jain, Arun Sharma:
Anomalous Learning Helps Succinctness (Extended Abstract). ALT 1990: 282-288 - 1989
- [c4]Sanjay Jain, Arun Sharma, John Case:
Convergence to Nearly Minimal Size Grammars by Vacillating Learning Machines. COLT 1989: 189-199
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