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Note: Links lead to the DBLP on the Web. William W. Cohen 62 Zhenzhen Kou , William W. Cohen, Robert F. Murphy : Extracting information from text and images for location proteomics. BIOKDD 2003 : 2-9 61 William W. Cohen, Jacob Richman : Learning to match and cluster large high-dimensional data sets for data integration. KDD 2002 : 475-480 60 William W. Cohen, Matthew Hurst , Lee S. Jensen : A flexible learning system for wrapping tables and lists in HTML documents. WWW 2002 : 232-241 59 Chumki Basu , Haym Hirsh , William W. Cohen, Craig G. Nevill-Manning : Technical Paper Recommendation: A Study in Combining Multiple Information Sources. JAIR 14 : 231-252 (2001) 58 William W. Cohen: Extracting Information from the Web for Concept Learning and Collaborative Filtering. ALT 2000 : 1-12 57 William W. Cohen: Automatically Extracting Features for Concept Learning from the Web. ICML 2000 : 159-166 56 William W. Cohen, Henry A. Kautz , David A. McAllester : Hardening soft information sources. KDD 2000 : 255-259 55 William W. Cohen: WHIRL: A word-based information representation language. Artificial Intelligence 118 (1-2): 163-196 (2000) 54 William W. Cohen, Andrew McCallum , Dallan Quass : Learning to Understand the Web. IEEE Data Engineering Bulletin 23 (3): 17-24 (2000) 53 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) 52 William W. Cohen: Data integration using similarity joins and a word-based information representation language. TOIS 18 (3): 288-321 (2000) 51 William W. Cohen, Wei Fan : Web-collaborative filtering: recommending music by crawling the Web. WWW9 / Computer Networks 33 (1-6): 685-698 (2000) 50 William W. Cohen, Yoram Singer : A Simple, Fast, and Effictive Rule Learner. AAAI/IAAI 1999 : 335-342 49 William W. Cohen: Recognizing Structure in Web Pages using Similarity Queries. AAAI/IAAI 1999 : 59-66 48 William W. Cohen: A Demonstration of WHIRL (demonstration abstract). SIGIR 1999 : 327 47 William W. Cohen: Some Practical Observations on Integration of Web Information. WebDB (Informal Proceedings) 1999 : 55-60 46 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) 45 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) 44 William W. Cohen, Robert E. Schapire , Yoram Singer : Learning to Order Things. JAIR 10 : 243-270 (1999) 43 William W. Cohen, Yoram Singer : Context-Sensitive Learning Methods for Text Categorization. TOIS 17 (2): 141-173 (1999) 42 William W. Cohen, Wei Fan : Learning Page-Independent Heuristics for Extracting Data from Web Pages. WWW8 / Computer Networks 31 (11-16): 1641-1652 (1999) 41 Chumki Basu , Haym Hirsh , William W. Cohen: Recommendation as Classification: Using Social and Content-Based Information in Recommendation. AAAI/IAAI 1998 : 714-720 40 William W. Cohen: A Web-Based Information System that Reasons with Structured Collections of Text. Agents 1998 : 400-407 39 William W. Cohen, Haym Hirsh : Joins that Generalize: Text Classification Using WHIRL. KDD 1998 : 169-173 38 William W. Cohen: Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity. SIGMOD Conference 1998 : 201-212 37 William W. Cohen: Providing Database-like Access to the Web Using Queries Based on Textual Similarity. SIGMOD Conference 1998 : 558-560 36 Narendar Yalamanchilli , William W. Cohen: Communication Performance of Java-Based Parallel Virtual Machines. Concurrency - Practice and Experience 10 (11-13): 1189-1196 (1998) 35 William W. Cohen: Hardness Results for Learning First-Order Representations and Programming by Demonstration. Machine Learning 30 (1): 57-87 (1998) 34 William W. Cohen, Daniel Kudenko : Transferring and Retraining Learned Information Filters. AAAI/IAAI 1997 : 583-590 33 William W. Cohen, Premkumar T. Devanbu : A Comparative Study of Inductive Logic Programming Methods for Software Fault Prediction. ICML 1997 : 66-74 32 William W. Cohen, Robert E. Schapire , Yoram Singer : Learning to Order Things. NIPS 1997 31 William W. Cohen: Learning Trees and Rules with Set-Valued Features. AAAI/IAAI, Vol. 1 1996 : 709-716 30 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 29 William W. Cohen, Yoram Singer : Context-sensitive Learning Methods for Text Categorization. SIGIR 1996 : 307-315 28 William W. Cohen, Haym Hirsh : Corrigendum for ``Learnability of Description Logics''. COLT 1995 : 463 27 William W. Cohen: Fast Effective Rule Induction. ICML 1995 : 115-123 26 William W. Cohen: Text Categorization and Relational Learning. ICML 1995 : 124-132 25 William W. Cohen: Pac-Learning Non-Recursive Prolog Clauses. Artificial Intelligence 79 (1): 1-38 (1995) 24 William W. Cohen: Inductive Specification Recovery: Understanding Software by Learning from Example Behaviors. Automated Software Engineering 2 (2): 107-129 (1995) 23 William W. Cohen: Pac-Learning Recursive Logic Programs: Efficient Algorithms. JAIR 2 : 501-539 (1995) 22 William W. Cohen: Pac-learning Recursive Logic Programs: Negative Results. JAIR 2 : 541-573 (1995) 21 William W. Cohen, C. David Page Jr. : Polynomial Learnability and Inductive Logic Programming: Methods and Results. New Generation Computing 13 (3&4): 369-409 (1995) 20 William W. Cohen: Recovering Software Specifications with Inductive Logic Programming. AAAI 1994 : 142-148 19 William W. Cohen: Pac-Learning Nondeterminate Clauses. AAAI 1994 : 676-681 18 William W. Cohen, Haym Hirsh : Learning the Classic Description Logic: Theoretical and Experimental Results. KR 1994 : 121-133 17 William W. Cohen: Grammatically Biased Learning: Learning Logic Programs Using an Explicit Antecedent Description Language. Artificial Intelligence 68 (2): 303-366 (1994) 16 William W. Cohen: Incremental Abductive EBL. Machine Learning 15 (1): 5-24 (1994) 15 William W. Cohen, Haym Hirsh : The Learnability of Description Logics with Equality Constraints. Machine Learning 17 (2-3): 169-199 (1994) 14 William W. Cohen: Cryptographic Limitations on Learning One-Clause Logic Programs. AAAI 1993 : 80-85 13 William W. Cohen: Pac-Learning a Restricted Class of Recursive Logic Programs. AAAI 1993 : 86-92 12 William W. Cohen: Efficient Pruning Methods for Separate-and-Conquer Rule Learning Systems. IJCAI 1993 : 988-994 11 William W. Cohen: Creating a Memory of Casual Relationships (Book Review). Machine Learning 10 : 179-183 (1993) 10 William W. Cohen, Alexander Borgida , Haym Hirsh : Computing Least Common Subsumers in Description Logics. AAAI 1992 : 754-760 9 William W. Cohen: Desiderata for Generalization-to-N Algorithms. AII 1992 : 140-150 8 William W. Cohen, Haym Hirsh : Learnability of Description Logics. COLT 1992 : 116-127 7 William W. Cohen: Using Distribution-Free Learning Theory to Analyze Solution Path Caching Mechan isms. Computational Intelligence 8 : 336-375 (1992) 6 William W. Cohen: Abductive Explanation-Based Learning: A Solution to the Multiple Inconsistent Explanation Problem. Machine Learning 8 : 167-219 (1992) 5 William W. Cohen: The Generality of Overgenerality. ML 1991 : 490-494 4 William W. Cohen: Learning from Textbook Knowledge: A Case Study. AAAI 1990 : 743-748 3 William W. Cohen: An Analysis of Representation Shift in Concept Learning. ML 1990 : 104-112 2 William W. Cohen: Learning Approximate Control Rules of High Utility. ML 1990 : 268-276 1 William W. Cohen: Generalizing Number and Learning from Multiple Examples in Explanation Based Learning. ML 1988 : 256-269  DiSC'03 © 2003 Association for Computing Machinery |
