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William W. Cohen
2010 – today
- 2013
[c129]Nan Li, Yuandong Tian, William W. Cohen, Kenneth R. Koedinger: Integrating Perceptual Learning with External World Knowledge in a Simulated Student. AIED 2013: 400-410- [c128]Bhavana Bharat Dalvi, William W. Cohen, Jamie Callan: Exploratory Learning. ECML/PKDD (3) 2013: 128-143
- [c127]Ramnath Balasubramanyan, Bhavana Bharat Dalvi, William W. Cohen: From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering. ECML/PKDD (2) 2013: 628-642
- [c126]Ramnath Balasubramanyan, William W. Cohen: Regularization of Latent Variable Models to Obtain Sparsity. SDM 2013: 414-422
- [c125]William W. Cohen, Bhavana Bharat Dalvi: Very Fast Similarity Queries on Semi-Structured Data from the Web. SDM 2013: 512-520
- [c124]Nan Li, Apoorv Khandelwal, Tung Phan, Dave S. Touretzky, William W. Cohen, Kenneth R. Koedinger: Creating an educational robot by embedding a learning agent in the physical world (abstract only). SIGCSE 2013: 759-760
- [i9]William Yang Wang, Kathryn Mazaitis, William W. Cohen: Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic. CoRR abs/1305.2254 (2013)
- [i8]William W. Cohen, David P. Redlawsk, Douglas Pierce: The Effect of Biased Communications On Both Trusting and Suspicious Voters. CoRR abs/1306.2558 (2013)
- [i7]Bhavana Bharat Dalvi, William W. Cohen, Jamie Callan: Exploratory Learning. CoRR abs/1307.0253 (2013)
- [i6]Bhavana Bharat Dalvi, William W. Cohen, Jamie Callan: WebSets: Extracting Sets of Entities from the Web Using Unsupervised Information Extraction. CoRR abs/1307.0261 (2013)
- 2012
- [c123]Timothy W. Clark, William W. Cohen, Lawrence Hunter, Chris Lintott, Jude W. Shavlik: Invited Talks. AAAI Fall Symposium: Discovery Informatics 2012
- [c122]
- [c121]Freddy Chong Tat Chua, William W. Cohen, Justin Betteridge, Ee-Peng Lim: Community-based classification of noun phrases in twitter. CIKM 2012: 1702-1706
- [c120]Noboru Matsuda, William W. Cohen, Kenneth R. Koedinger, Victoria Keiser, Rohan Raizada, Evelyn Yarzebinski, Shayna P. Watson, Gabriel Stylianides: Studying the Effect of Tutor Learning Using a Teachable Agent that Asks the Student Tutor for Explanations. DIGITEL 2012: 25-32
- [c119]Nan Li, Abraham Schreiber, William W. Cohen, Kenneth R. Koedinger: Creating Features from a Learned Grammar in a Simulated Student. ECAI 2012: 534-539
- [c118]Ni Lao, Amarnag Subramanya, Fernando C. N. Pereira, William W. Cohen: Reading The Web with Learned Syntactic-Semantic Inference Rules. EMNLP-CoNLL 2012: 1017-1026
- [c117]Mahesh Joshi, Mark Dredze, William W. Cohen, Carolyn Penstein Rosé: Multi-Domain Learning: When Do Domains Matter? EMNLP-CoNLL 2012: 1302-1312
- [c116]Nan Li, William W. Cohen, Kenneth R. Koedinger: Integrating perceptual representation learning and skill learning in a simulated student. ICDL-EPIROB 2012: 1-2
- [c115]
- [c114]Ramnath Balasubramanyan, William W. Cohen, Douglas Pierce, David P. Redlawsk: Modeling Polarizing Topics: When Do Different Political Communities Respond Differently to the Same News? ICWSM 2012
- [c113]Nan Li, William W. Cohen, Kenneth R. Koedinger: Problem Order Implications for Learning Transfer. ITS 2012: 185-194
- [c112]Nan Li, William W. Cohen, Kenneth R. Koedinger: Efficient Cross-Domain Learning of Complex Skills. ITS 2012: 493-498
- [c111]Nan Li, William W. Cohen, Kenneth R. Koedinger: Learning to Perceive Two-Dimensional Displays Using Probabilistic Grammars. ECML/PKDD (2) 2012: 773-788
- [c110]Bhavana Bharat Dalvi, William W. Cohen, Jamie Callan: WebSets: extracting sets of entities from the web using unsupervised information extraction. WSDM 2012: 243-252
- [i5]Pradeep D. Ravikumar, William W. Cohen: A Hierarchical Graphical Model for Record Linkage. CoRR abs/1207.4180 (2012)
- 2011
- [c109]Noboru Matsuda, Evelyn Yarzebinski, Victoria Keiser, Rohan Raizada, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger: Learning by Teaching SimStudent - An Initial Classroom Baseline Study Comparing with Cognitive Tutor. AIED 2011: 213-221
- [c108]Noboru Matsuda, Victoria Keiser, Rohan Raizada, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger: Learning by Teaching SimStudent - Interactive Event. AIED 2011: 623
- [c107]Nan Li, William W. Cohen, Kenneth R. Koedinger, Noboru Matsuda: A Machine Learning Approach for Automatic Student Model Discovery. EDM 2011: 31-40
- [c106]Ni Lao, Tom M. Mitchell, William W. Cohen: Random Walk Inference and Learning in A Large Scale Knowledge Base. EMNLP 2011: 529-539
- [c105]Ramnath Balasubramanyan, William W. Cohen: Block-LDA: Jointly modeling entity-annotated text and entity-entity links. SDM 2011: 450-461
- [i4]William W. Cohen, Robert E. Schapire, Yoram Singer: Learning to Order Things. CoRR abs/1105.5464 (2011)
- [i3]Chumki Basu, William W. Cohen, Haym Hirsh, Craig G. Nevill-Manning: Technical Paper Recommendation: A Study in Combining Multiple Information Sources. CoRR abs/1106.0248 (2011)
- 2010
- [j34]Ni Lao, William W. Cohen: Relational retrieval using a combination of path-constrained random walks. Machine Learning 81(1): 53-67 (2010)
- [j33]Einat Minkov, William W. Cohen: Improving graph-walk-based similarity with reranking: Case studies for personal information management. ACM Trans. Inf. Syst. 29(1): 4 (2010)
- [j32]Amr Ahmed, Andrew Arnold, Luís Pedro Coelho, Joshua Kangas, Abdul-Saboor Sheikh, Eric P. Xing, William W. Cohen, Robert F. Murphy: Structured literature image finder: Parsing text and figures in biomedical literature. J. Web Sem. 8(2-3): 151-154 (2010)
- [c104]Nan Li, William W. Cohen, Kenneth R. Koedinger: Integrating Transfer Learning in Synthetic Student. AAAI 2010
- [c103]Nan Li, Noboru Matsuda, William W. Cohen, Kenneth R. Koedinger: Towards a Computational Model of Why Some Students Learn Faster than Others. AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems 2010
- [c102]Frank Lin, William W. Cohen: Semi-Supervised Classification of Network Data Using Very Few Labels. ASONAM 2010: 192-199
- [c101]
- [c100]
- [c99]Noboru Matsuda, Victoria Keiser, Rohan Raizada, Arthur Tu, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger: Learning by Teaching SimStudent: Technical Accomplishments and an Initial Use with Students. Intelligent Tutoring Systems (1) 2010: 317-326
- [c98]Nan Li, William W. Cohen, Kenneth R. Koedinger: A Computational Model of Accelerated Future Learning through Feature Recognition. Intelligent Tutoring Systems (2) 2010: 368-370
- [c97]Noboru Matsuda, Victoria Keiser, Rohan Raizada, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger: Learning by Teaching SimStudent. Intelligent Tutoring Systems (2) 2010: 449
- [c96]
- [c95]Ni Lao, Jun Zhu, Xinwang Liu, Yandong Liu, William W. Cohen: Efficient Relational Learning with Hidden Variable Detection. NIPS 2010: 1234-1242
- [c94]Philip Stutz, Abraham Bernstein, William W. Cohen: Signal/Collect: Graph Algorithms for the (Semantic) Web. International Semantic Web Conference (1) 2010: 764-780
- [c93]Bhavana Bharat Dalvi, Jamie Callan, William W. Cohen: Entity List Completion Using Set Expansion Techniques. TREC 2010
- [e4]William W. Cohen, Samuel Gosling (Eds.): Proceedings of the Fourth International Conference on Weblogs and Social Media, ICWSM 2010, Washington, DC, USA, May 23-26, 2010. The AAAI Press 2010
2000 – 2009
- 2009
- [c92]Richard C. Wang, William W. Cohen: Automatic Set Instance Extraction using the Web. ACL/IJCNLP 2009: 441-449
- [c91]Richard C. Wang, William W. Cohen: Character-level Analysis of Semi-Structured Documents for Set Expansion. EMNLP 2009: 1503-1512
- [c90]Andrew Arnold, William W. Cohen: Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection. ICWSM 2009
- [c89]Ramnath Balasubramanyan, Frank Lin, William W. Cohen, Matthew Hurst, Noah A. Smith: From Episodes to Sagas: Understanding the News by Identifying Temporally Related Story Sequences. ICWSM 2009
- [c88]Amr Ahmed, Eric P. Xing, William W. Cohen, Robert F. Murphy: Structured correspondence topic models for mining captioned figures in biological literature. KDD 2009: 39-48
- [c87]Tae Yano, William W. Cohen, Noah A. Smith: Predicting Response to Political Blog Posts with Topic Models. HLT-NAACL 2009: 477-485
- [c86]Andrew Arnold, William W. Cohen: Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection. WASA 2009: 541-550
- 2008
- [c85]Andrew Arnold, Ramesh Nallapati, William W. Cohen: Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition. ACL 2008: 245-253
- [c84]Einat Minkov, Ramnath Balasubramanyan, William W. Cohen: Activity-centred Search in Email. CEAS 2008
- [c83]Andrew Arnold, William W. Cohen: Intra-document structural frequency features for semi-supervised domain adaptation. CIKM 2008: 1291-1300
- [c82]Vitor R. Carvalho, Jonathan L. Elsas, William W. Cohen, Jaime G. Carbonell: Suppressing outliers in pairwise preference ranking. CIKM 2008: 1487-1488
- [c81]Vitor R. Carvalho, William W. Cohen: Ranking Users for Intelligent Message Addressing. ECIR 2008: 321-333
- [c80]Einat Minkov, William W. Cohen: Learning Graph Walk Based Similarity Measures for Parsed Text. EMNLP 2008: 907-916
- [c79]Richard C. Wang, Nico Schlaefer, William W. Cohen, Eric Nyberg: Automatic Set Expansion for List Question Answering. EMNLP 2008: 947-954
- [c78]Richard C. Wang, William W. Cohen: Iterative Set Expansion of Named Entities Using the Web. ICDM 2008: 1091-1096
- [c77]Frank Lin, William W. Cohen: The MultiRank Bootstrap Algorithm: Self-Supervised Political Blog Classification and Ranking Using Semi-Supervised Link Classification. ICWSM 2008
- [c76]Ramesh Nallapati, William W. Cohen: Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs. ICWSM 2008
- [c75]Yi-Chia Wang, Mahesh Joshi, William W. Cohen, Carolyn Penstein Rosé: Recovering Implicit Thread Structure in Newsgroup Style Conversations. ICWSM 2008
- [c74]Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth R. Koedinger: Why Tutored Problem Solving May be Better Than Example Study: Theoretical Implications from a Simulated-Student Study. Intelligent Tutoring Systems 2008: 111-121
- [c73]Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William W. Cohen: Joint latent topic models for text and citations. KDD 2008: 542-550
- [e3]William W. Cohen, Andrew McCallum, Sam T. Roweis (Eds.): Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008. ACM International Conference Proceeding Series 307, ACM 2008, ISBN 978-1-60558-205-4
- 2007
- [j31]Sarah Zelikovitz, William W. Cohen, Haym Hirsh: Extending WHIRL with background knowledge for improved text classification. Inf. Retr. 10(1): 35-67 (2007)
- [c72]Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth R. Koedinger: Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation. AIED 2007: 467-476
- [c71]Vitor R. Carvalho, Wen Wu, William W. Cohen: Discovering Leadership Roles in Email Workgroups. CEAS 2007
- [c70]Andrew Arnold, Ramesh Nallapati, William W. Cohen: A Comparative Study of Methods for Transductive Transfer Learning. ICDM Workshops 2007: 77-82
- [c69]Richard C. Wang, William W. Cohen: Language-Independent Set Expansion of Named Entities Using the Web. ICDM 2007: 342-350
- [c68]Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eric P. Xing: Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models. ICDM Workshops 2007: 343-348
- [c67]Ramesh Nallapati, William W. Cohen, John D. Lafferty: Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability. ICDM Workshops 2007: 349-354
- [c66]William W. Cohen: Machine Learning for Information Management: Some Promising Directions. ICMLA 2007
- [c65]Juchang Hua, Orhan N. Ayasli, William W. Cohen, Robert F. Murphy: Identifying Fluorescence Microscope Images in Online Journal Articles Using Both Image and Text Features. ISBI 2007: 1224-1227
- [c64]Zhenzhen Kou, William W. Cohen, Robert F. Murphy: A Stacked Graphical Model for Associating Sub-Images with Sub-Captions. Pacific Symposium on Biocomputing 2007: 257-268
- [c63]
- [c62]Zhenzhen Kou, William W. Cohen: Stacked Graphical Models for Efficient Inference in Markov Random Fields. SDM 2007
- [c61]Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth R. Koedinger: Evaluating a Simulated Student Using Real Students Data for Training and Testing. User Modeling 2007: 107-116
- 2006
- [j30]William W. Cohen, Einat Minkov: A graph-search framework for associating gene identifiers with documents. BMC Bioinformatics 7: 440 (2006)
- [c60]
- [c59]Vitor R. Carvalho, William W. Cohen: Single-pass online learning: performance, voting schemes and online feature selection. KDD 2006: 548-553
- [c58]Einat Minkov, Richard C. Wang, Anthony Tomasic, William W. Cohen: NER Systems that Suit User's Preferences: Adjusting the Recall-Precision Trade-off for Entity Extraction. HLT-NAACL 2006
- [c57]Einat Minkov, William W. Cohen, Andrew Y. Ng: Contextual search and name disambiguation in email using graphs. SIGIR 2006: 27-34
- [e2]William W. Cohen, Andrew Moore (Eds.): Machine Learning, Proceedings of the Twenty-Third International Conference (ICML 2006), Pittsburgh, Pennsylvania, USA, June 25-29, 2006. ACM International Conference Proceeding Series 148, ACM 2006, ISBN 1-59593-383-2
- 2005
- [c56]Carolyn Penstein Rosé, Pinar Donmez, Gahgene Gweon, Andrea Knight, Brian Junker, William W. Cohen, Kenneth R. Koedinger, Neil T. Heffernan: Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment. AIED 2005: 571-578
- [c55]
- [c54]William W. Cohen, Einat Minkov, Anthony Tomasic: Learning to Understand Web Site Update Requests. IJCAI 2005: 1028-1033
- [c53]Zhenzhen Kou, William W. Cohen, Robert F. Murphy: High-recall protein entity recognition using a dictionary. ISMB (Supplement of Bioinformatics) 2005: 266-273
- [c52]Einat Minkov, Richard C. Wang, William W. Cohen: Extracting Personal Names from Email: Applying Named Entity Recognition to Informal Text. HLT/EMNLP 2005
- [c51]Vitor Rocha de Carvalho, William W. Cohen: On the collective classification of email "speech acts". SIGIR 2005: 345-352
- 2004
- [c50]Vitor Rocha de Carvalho, William W. Cohen: Learning to Extract Signature and Reply Lines from Email. CEAS 2004
- [c49]Yifen Huang, Dinesh Govindaraju, Tom M. Mitchell, Vitor Rocha de Carvalho, William W. Cohen: Inferring Ongoing Activities of Workstation Users by Clustering Email. CEAS 2004
- [c48]William W. Cohen, Vitor R. Carvalho, Tom M. Mitchell: Learning to Classify Email into ``Speech Acts''. EMNLP 2004: 309-316
- [c47]William W. Cohen, Sunita Sarawagi: Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods. KDD 2004: 89-98
- [c46]Sunita Sarawagi, William W. Cohen: Semi-Markov Conditional Random Fields for Information Extraction. NIPS 2004
- [c45]Pradeep D. Ravikumar, William W. Cohen: A Hierarchical Graphical Model for Record Linkage. UAI 2004: 454-461
- 2003
- [j29]William W. Cohen: Learning and Discovering Structure in Web Pages. IEEE Data Eng. Bull. 26(3): 3-10 (2003)
- [j28]Mikhail Bilenko, Raymond J. Mooney, William W. Cohen, Pradeep D. Ravikumar, Stephen E. Fienberg: Adaptive Name Matching in Information Integration. IEEE Intelligent Systems 18(5): 16-23 (2003)
- [c44]William W. Cohen: Infrastructure Components for Large-Scale Information Extraction Systems. IAAI 2003: 71-78
- [c43]William W. Cohen, Pradeep D. Ravikumar, Stephen E. Fienberg: A Comparison of String Distance Metrics for Name-Matching Tasks. IIWeb 2003: 73-78
- [c42]Zhenzhen Kou, William W. Cohen, Robert F. Murphy: Extracting information from text and images for location proteomics. BIOKDD 2003: 2-9
- [c41]William W. Cohen, Richard C. Wang, Robert F. Murphy: Understanding captions in biomedical publications. KDD 2003: 499-504
- [c40]ChengXiang Zhai, William W. Cohen, John D. Lafferty: Beyond independent relevance: methods and evaluation metrics for subtopic retrieval. SIGIR 2003: 10-17
- 2002
- [c39]William W. Cohen, Jacob Richman: Learning to match and cluster large high-dimensional data sets for data integration. KDD 2002: 475-480
- [c38]William W. Cohen: Improving a Page Classifier with Anchor Extraction and Link Analysis. NIPS 2002: 1481-1488
- [c37]William W. Cohen, Matthew Hurst, Lee S. Jensen: A flexible learning system for wrapping tables and lists in HTML documents. WWW 2002: 232-241
- 2001
- [j27]Chumki Basu, Haym Hirsh, William W. Cohen, Craig G. Nevill-Manning: Technical Paper Recommendation: A Study in Combining Multiple Information Sources. J. Artif. Intell. Res. (JAIR) 14: 231-252 (2001)
- [c36]
- 2000
- [j26]William W. Cohen: WHIRL: A word-based information representation language. Artif. Intell. 118(1-2): 163-196 (2000)
- [j25]William W. Cohen, Wei Fan: Web-collaborative filtering: recommending music by crawling the Web. Computer Networks 33(1-6): 685-698 (2000)
- [j24]William W. Cohen, Andrew McCallum, Dallan Quass: Learning to Understand the Web. IEEE Data Eng. Bull. 23(3): 17-24 (2000)
- [j23]Jaime G. Carbonell, Yiming Yang, William W. Cohen: Special Issue of Machine Learning on Information Retrieval - Introduction. Machine Learning 39(2/3): 99-101 (2000)
- [j22]William W. Cohen: Data integration using similarity joins and a word-based information representation language. ACM Trans. Inf. Syst. 18(3): 288-321 (2000)
- [c35]William W. Cohen: Extracting Information from the Web for Concept Learning and Collaborative Filtering. ALT 2000: 1-12
- [c34]William W. Cohen: Automatically Extracting Features for Concept Learning from the Web. ICML 2000: 159-166
- [c33]William W. Cohen, Henry A. Kautz, David A. McAllester: Hardening soft information sources. KDD 2000: 255-259
1990 – 1999
- 1999
- [j21]William W. Cohen: Reasoning about Textual Similarity in a Web-Based Information Access System. Autonomous Agents and Multi-Agent Systems 2(1): 65-86 (1999)
- [j20]William W. Cohen, Wei Fan: Learning Page-Independent Heuristics for Extracting Data from Web Pages. Computer Networks 31(11-16): 1641-1652 (1999)
- [j19]William W. Cohen, Premkumar T. Devanbu: Automatically Exploring Hypotheses About Fault Prediction: A Comparative Study of Inductive Logic Programming Methods. International Journal of Software Engineering and Knowledge Engineering 9(5): 519-546 (1999)
- [j18]William W. Cohen, Robert E. Schapire, Yoram Singer: Learning to Order Things. J. Artif. Intell. Res. (JAIR) 10: 243-270 (1999)
- [j17]William W. Cohen, Yoram Singer: Context-Sensitive Learning Methods for Text Categorization. ACM Trans. Inf. Syst. 17(2): 141-173 (1999)
- [c32]William W. Cohen: Recognizing Structure in Web Pages using Similarity Queries. AAAI/IAAI 1999: 59-66
- [c31]
- [c30]
- [c29]William W. Cohen: Some Practical Observations on Integration of Web Information. WebDB (Informal Proceedings) 1999: 55-60
- 1998
- [j16]Narendar Yalamanchilli, William W. Cohen: Communication Performance of Java-Based Parallel Virtual Machines. Concurrency - Practice and Experience 10(11-13): 1189-1196 (1998)
- [j15]William W. Cohen: Hardness Results for Learning First-Order Representations and Programming by Demonstration. Machine Learning 30(1): 57-87 (1998)
- [c28]Chumki Basu, Haym Hirsh, William W. Cohen: Recommendation as Classification: Using Social and Content-Based Information in Recommendation. AAAI/IAAI 1998: 714-720
- [c27]William W. Cohen: A Web-Based Information System that Reasons with Structured Collections of Text. Agents 1998: 400-407
- [c26]William W. Cohen, Haym Hirsh: Joins that Generalize: Text Classification Using WHIRL. KDD 1998: 169-173
- [c25]William W. Cohen: Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity. SIGMOD Conference 1998: 201-212
- [c24]William W. Cohen: Providing Database-like Access to the Web Using Queries Based on Textual Similarity. SIGMOD Conference 1998: 558-560
- 1997
- [c23]William W. Cohen, Daniel Kudenko: Transferring and Retraining Learned Information Filters. AAAI/IAAI 1997: 583-590
- [c22]William W. Cohen, Premkumar T. Devanbu: A Comparative Study of Inductive Logic Programming Methods for Software Fault Prediction. ICML 1997: 66-74
- [c21]
- 1996
- [j14]William W. Cohen: Adaptive mapping and navigation by teams of simple robots. Robotics and Autonomous Systems 18(4): 411-434 (1996)
- [c20]William W. Cohen: Learning Trees and Rules with Set-Valued Features. AAAI/IAAI, Vol. 1 1996: 709-716
- [c19]William W. Cohen: The Dual DFA Learning Problem: Hardness Results for Programming by Demonstration and Learning First-Order Representations (Extended Abstract). COLT 1996: 29-40
- [c18]William W. Cohen, Yoram Singer: Context-sensitive Learning Methods for Text Categorization. SIGIR 1996: 307-315
- 1995
- [j13]
- [j12]William W. Cohen: Inductive Specification Recovery: Understanding Software by Learning from Example Behaviors. Autom. Softw. Eng. 2(2): 107-129 (1995)
- [j11]William W. Cohen: Pac-Learning Recursive Logic Programs: Efficient Algorithms. J. Artif. Intell. Res. (JAIR) 2: 501-539 (1995)
- [j10]William W. Cohen: Pac-learning Recursive Logic Programs: Negative Results. J. Artif. Intell. Res. (JAIR) 2: 541-573 (1995)
- [j9]William W. Cohen, C. David Page Jr.: Polynomial Learnability and Inductive Logic Programming: Methods and Results. New Generation Comput. 13(3&4): 369-409 (1995)
- [c17]William W. Cohen, Haym Hirsh: Corrigendum for ``Learnability of Description Logics''. COLT 1995: 463
- [c16]
- [c15]
- [i2]William W. Cohen: Pac-Learning Recursive Logic Programs: Efficient Algorithms. CoRR cs.AI/9505104 (1995)
- [i1]William W. Cohen: Pac-learning Recursive Logic Programs: Negative Results. CoRR cs.AI/9505105 (1995)
- 1994
- [j8]William W. Cohen: Grammatically Biased Learning: Learning Logic Programs Using an Explicit Antecedent Description Language. Artif. Intell. 68(2): 303-366 (1994)
- [j7]
- [j6]William W. Cohen, Haym Hirsh: The Learnability of Description Logics with Equality Constraints. Machine Learning 17(2-3): 169-199 (1994)
- [j5]L. Thorne McCarty, William W. Cohen: The Case for Explicit Exceptions. Meth. of Logic in CS 1(1): 19-50 (1994)
- [c14]William W. Cohen: Recovering Software Specifications with Inductive Logic Programming. AAAI 1994: 142-148
- [c13]
- [c12]William W. Cohen, Haym Hirsh: Learning the Classic Description Logic: Theoretical and Experimental Results. KR 1994: 121-133
- [e1]William W. Cohen, Haym Hirsh (Eds.): Machine Learning, Proceedings of the Eleventh International Conference, Rutgers University, New Brunswick, NJ, USA, July 10-13, 1994. Morgan Kaufmann 1994, ISBN 1-55860-335-2
- 1993
- [j4]William W. Cohen: Creating a Memory of Casual Relationships (Book Review). Machine Learning 10: 179-183 (1993)
- [c11]
- [c10]
- [c9]William W. Cohen: Efficient Pruning Methods for Separate-and-Conquer Rule Learning Systems. IJCAI 1993: 988-994
- 1992
- [j3]William W. Cohen: Using Distribution-Free Learning Theory to Analyze Solution Path Caching Mechan isms. Computational Intelligence 8: 336-375 (1992)
- [j2]William W. Cohen: Abductive Explanation-Based Learning: A Solution to the Multiple Inconsistent Explanation Problem. Machine Learning 8: 167-219 (1992)
- [c8]William W. Cohen, Alexander Borgida, Haym Hirsh: Computing Least Common Subsumers in Description Logics. AAAI 1992: 754-760
- [c7]
- [c6]
- 1991
- [c5]
- 1990
- [c4]
- [c3]
- [c2]
1980 – 1989
- 1988
- [c1]William W. Cohen: Generalizing Number and Learning from Multiple Examples in Explanation Based Learning. ML 1988: 256-269
- 1986
- [j1]Karen A. Bartlett, William W. Cohen, Aart J. de Geus, Gary D. Hachtel: Synthesis and Optimization of Multilevel Logic under Timing Constraints. IEEE Trans. on CAD of Integrated Circuits and Systems 5(4): 582-596 (1986)
Coauthor Index
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last updated on 2013-10-02 11:00 CEST by the dblp team