| 2008 |
|---|
| 108 | | William W. Cohen,
Andrew McCallum,
Sam T. Roweis:
Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008
ACM 2008 |
| 107 | EE | Andrew Arnold,
William W. Cohen:
Intra-document structural frequency features for semi-supervised domain adaptation.
CIKM 2008: 1291-1300 |
| 106 | EE | Vitor R. Carvalho,
Jonathan L. Elsas,
William W. Cohen,
Jaime G. Carbonell:
Suppressing outliers in pairwise preference ranking.
CIKM 2008: 1487-1488 |
| 105 | EE | Vitor R. Carvalho,
William W. Cohen:
Ranking Users for Intelligent Message Addressing.
ECIR 2008: 321-333 |
| 104 | EE | Einat Minkov,
William W. Cohen:
Learning Graph Walk Based Similarity Measures for Parsed Text.
EMNLP 2008: 907-916 |
| 103 | EE | Richard C. Wang,
Nico Schlaefer,
William W. Cohen,
Eric Nyberg:
Automatic Set Expansion for List Question Answering.
EMNLP 2008: 947-954 |
| 102 | EE | Richard C. Wang,
William W. Cohen:
Iterative Set Expansion of Named Entities Using the Web.
ICDM 2008: 1091-1096 |
| 101 | EE | 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 |
| 100 | EE | Ramesh Nallapati,
Amr Ahmed,
Eric P. Xing,
William W. Cohen:
Joint latent topic models for text and citations.
KDD 2008: 542-550 |
| 2007 |
|---|
| 99 | | 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 |
| 98 | EE | Richard C. Wang,
William W. Cohen:
Language-Independent Set Expansion of Named Entities Using the Web.
ICDM 2007: 342-350 |
| 97 | EE | 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 |
| 96 | EE | 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 |
| 95 | EE | Andrew Arnold,
Ramesh Nallapati,
William W. Cohen:
A Comparative Study of Methods for Transductive Transfer Learning.
ICDM Workshops 2007: 77-82 |
| 94 | EE | 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 |
| 93 | EE | 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 |
| 92 | EE | Vitor R. Carvalho,
William W. Cohen:
Preventing Information Leaks in Email.
SDM 2007 |
| 91 | EE | Zhenzhen Kou,
William W. Cohen:
Stacked Graphical Models for Efficient Inference in Markov Random Fields.
SDM 2007 |
| 90 | EE | 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 |
| 89 | EE | Sarah Zelikovitz,
William W. Cohen,
Haym Hirsh:
Extending WHIRL with background knowledge for improved text classification.
Inf. Retr. 10(1): 35-67 (2007) |
| 2006 |
|---|
| 88 | | William W. Cohen,
Andrew Moore:
Machine Learning, Proceedings of the Twenty-Third International Conference (ICML 2006), Pittsburgh, Pennsylvania, USA, June 25-29, 2006
ACM 2006 |
| 87 | EE | 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 |
| 86 | EE | Vitor R. Carvalho,
William W. Cohen:
Single-pass online learning: performance, voting schemes and online feature selection.
KDD 2006: 548-553 |
| 85 | EE | Einat Minkov,
William W. Cohen,
Andrew Y. Ng:
Contextual search and name disambiguation in email using graphs.
SIGIR 2006: 27-34 |
| 2005 |
|---|
| 84 | EE | Einat Minkov,
Richard C. Wang,
William W. Cohen:
Extracting Personal Names from Email: Applying Named Entity Recognition to Informal Text.
HLT/EMNLP 2005 |
| 83 | EE | William W. Cohen,
Einat Minkov,
Anthony Tomasic:
Learning to Understand Web Site Update Requests.
IJCAI 2005: 1028-1033 |
| 82 | EE | William W. Cohen,
Vitor Rocha de Carvalho:
Stacked Sequential Learning.
IJCAI 2005: 671-676 |
| 81 | EE | Zhenzhen Kou,
William W. Cohen,
Robert F. Murphy:
High-recall protein entity recognition using a dictionary.
ISMB (Supplement of Bioinformatics) 2005: 266-273 |
| 80 | EE | Vitor Rocha de Carvalho,
William W. Cohen:
On the collective classification of email "speech acts".
SIGIR 2005: 345-352 |
| 2004 |
|---|
| 79 | EE | 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 |
| 78 | EE | Vitor Rocha de Carvalho,
William W. Cohen:
Learning to Extract Signature and Reply Lines from Email.
CEAS 2004 |
| 77 | EE | William W. Cohen,
Sunita Sarawagi:
Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods.
KDD 2004: 89-98 |
| 76 | EE | Sunita Sarawagi,
William W. Cohen:
Semi-Markov Conditional Random Fields for Information Extraction.
NIPS 2004 |
| 75 | EE | Pradeep Ravikumar,
William W. Cohen:
A Hierarchical Graphical Model for Record Linkage.
UAI 2004: 454-461 |
| 2003 |
|---|
| 74 | EE | Zhenzhen Kou,
William W. Cohen,
Robert F. Murphy:
Extracting information from text and images for location proteomics.
BIOKDD 2003: 2-9 |
| 73 | | William W. Cohen:
Infrastructure Components for Large-Scale Information Extraction Systems.
IAAI 2003: 71-78 |
| 72 | EE | William W. Cohen,
Pradeep Ravikumar,
Stephen E. Fienberg:
A Comparison of String Distance Metrics for Name-Matching Tasks.
IIWeb 2003: 73-78 |
| 71 | EE | William W. Cohen,
Richard C. Wang,
Robert F. Murphy:
Understanding captions in biomedical publications.
KDD 2003: 499-504 |
| 70 | EE | ChengXiang Zhai,
William W. Cohen,
John D. Lafferty:
Beyond independent relevance: methods and evaluation metrics for subtopic retrieval.
SIGIR 2003: 10-17 |
| 69 | EE | William W. Cohen:
Learning and Discovering Structure in Web Pages.
IEEE Data Eng. Bull. 26(3): 3-10 (2003) |
| 68 | EE | Mikhail Bilenko,
Raymond J. Mooney,
William W. Cohen,
Pradeep Ravikumar,
Stephen E. Fienberg:
Adaptive Name Matching in Information Integration.
IEEE Intelligent Systems 18(5): 16-23 (2003) |
| 2002 |
|---|
| 67 | EE | William W. Cohen,
Jacob Richman:
Learning to match and cluster large high-dimensional data sets for data integration.
KDD 2002: 475-480 |
| 66 | EE | William W. Cohen:
Improving a Page Classifier with Anchor Extraction and Link Analysis.
NIPS 2002: 1481-1488 |
| 65 | EE | 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 |
|---|
| 64 | | William W. Cohen:
Issues in Extracting Information from the Web.
IWPT 2001 |
| 63 | EE | 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) |
| 2000 |
|---|
| 62 | EE | William W. Cohen:
Extracting Information from the Web for Concept Learning and Collaborative Filtering.
ALT 2000: 1-12 |
| 61 | | William W. Cohen:
Automatically Extracting Features for Concept Learning from the Web.
ICML 2000: 159-166 |
| 60 | EE | William W. Cohen,
Henry A. Kautz,
David A. McAllester:
Hardening soft information sources.
KDD 2000: 255-259 |
| 59 | EE | William W. Cohen:
Data integration using similarity joins and a word-based information representation language.
ACM Trans. Inf. Syst. 18(3): 288-321 (2000) |
| 58 | EE | William W. Cohen:
WHIRL: A word-based information representation language.
Artif. Intell. 118(1-2): 163-196 (2000) |
| 57 | EE | William W. Cohen,
Wei Fan:
Web-collaborative filtering: recommending music by crawling the Web.
Computer Networks 33(1-6): 685-698 (2000) |
| 56 | EE | William W. Cohen,
Andrew McCallum,
Dallan Quass:
Learning to Understand the Web.
IEEE Data Eng. Bull. 23(3): 17-24 (2000) |
| 55 | | 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) |
| 1999 |
|---|
| 54 | | William W. Cohen,
Yoram Singer:
A Simple, Fast, and Effictive Rule Learner.
AAAI/IAAI 1999: 335-342 |
| 53 | | William W. Cohen:
Recognizing Structure in Web Pages using Similarity Queries.
AAAI/IAAI 1999: 59-66 |
| 52 | EE | William W. Cohen:
A Demonstration of WHIRL (demonstration abstract).
SIGIR 1999: 327 |
| 51 | EE | William W. Cohen:
Some Practical Observations on Integration of Web Information.
WebDB (Informal Proceedings) 1999: 55-60 |
| 50 | EE | William W. Cohen,
Yoram Singer:
Context-Sensitive Learning Methods for Text Categorization.
ACM Trans. Inf. Syst. 17(2): 141-173 (1999) |
| 49 | | 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) |
| 48 | EE | William W. Cohen,
Wei Fan:
Learning Page-Independent Heuristics for Extracting Data from Web Pages.
Computer Networks 31(11-16): 1641-1652 (1999) |
| 47 | EE | 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) |
| 46 | EE | William W. Cohen,
Robert E. Schapire,
Yoram Singer:
Learning to Order Things.
J. Artif. Intell. Res. (JAIR) 10: 243-270 (1999) |
| 1998 |
|---|
| 45 | | Chumki Basu,
Haym Hirsh,
William W. Cohen:
Recommendation as Classification: Using Social and Content-Based Information in Recommendation.
AAAI/IAAI 1998: 714-720 |
| 44 | EE | William W. Cohen:
A Web-Based Information System that Reasons with Structured Collections of Text.
Agents 1998: 400-407 |
| 43 | | William W. Cohen,
Haym Hirsh:
Joins that Generalize: Text Classification Using WHIRL.
KDD 1998: 169-173 |
| 42 | EE | William W. Cohen:
Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity.
SIGMOD Conference 1998: 201-212 |
| 41 | EE | William W. Cohen:
Providing Database-like Access to the Web Using Queries Based on Textual Similarity.
SIGMOD Conference 1998: 558-560 |
| 40 | | Narendar Yalamanchilli,
William W. Cohen:
Communication Performance of Java-Based Parallel Virtual Machines.
Concurrency - Practice and Experience 10(11-13): 1189-1196 (1998) |
| 39 | | William W. Cohen:
Hardness Results for Learning First-Order Representations and Programming by Demonstration.
Machine Learning 30(1): 57-87 (1998) |
| 1997 |
|---|
| 38 | | William W. Cohen,
Daniel Kudenko:
Transferring and Retraining Learned Information Filters.
AAAI/IAAI 1997: 583-590 |
| 37 | | William W. Cohen,
Premkumar T. Devanbu:
A Comparative Study of Inductive Logic Programming Methods for Software Fault Prediction.
ICML 1997: 66-74 |
| 36 | | William W. Cohen,
Robert E. Schapire,
Yoram Singer:
Learning to Order Things.
NIPS 1997 |
| 1996 |
|---|
| 35 | | William W. Cohen:
Learning Trees and Rules with Set-Valued Features.
AAAI/IAAI, Vol. 1 1996: 709-716 |
| 34 | EE | 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 |
| 33 | EE | William W. Cohen,
Yoram Singer:
Context-sensitive Learning Methods for Text Categorization.
SIGIR 1996: 307-315 |
| 32 | EE | William W. Cohen:
Adaptive mapping and navigation by teams of simple robots.
Robotics and Autonomous Systems 18(4): 411-434 (1996) |
| 1995 |
|---|
| 31 | | William W. Cohen,
Haym Hirsh:
Corrigendum for ``Learnability of Description Logics''.
COLT 1995: 463 |
| 30 | | William W. Cohen:
Fast Effective Rule Induction.
ICML 1995: 115-123 |
| 29 | | William W. Cohen:
Text Categorization and Relational Learning.
ICML 1995: 124-132 |
| 28 | EE | William W. Cohen:
Pac-Learning Non-Recursive Prolog Clauses.
Artif. Intell. 79(1): 1-38 (1995) |
| 27 | | William W. Cohen:
Inductive Specification Recovery: Understanding Software by Learning from Example Behaviors.
Autom. Softw. Eng. 2(2): 107-129 (1995) |
| 26 | EE | William W. Cohen:
Pac-Learning Recursive Logic Programs: Efficient Algorithms
CoRR cs.AI/9505104: (1995) |
| 25 | EE | William W. Cohen:
Pac-learning Recursive Logic Programs: Negative Results
CoRR cs.AI/9505105: (1995) |
| 24 | | William W. Cohen:
Pac-Learning Recursive Logic Programs: Efficient Algorithms.
J. Artif. Intell. Res. (JAIR) 2: 501-539 (1995) |
| 23 | | William W. Cohen:
Pac-learning Recursive Logic Programs: Negative Results.
J. Artif. Intell. Res. (JAIR) 2: 541-573 (1995) |
| 22 | | 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) |
| 1994 |
|---|
| 21 | | William W. Cohen:
Recovering Software Specifications with Inductive Logic Programming.
AAAI 1994: 142-148 |
| 20 | | William W. Cohen:
Pac-Learning Nondeterminate Clauses.
AAAI 1994: 676-681 |
| 19 | | William W. Cohen,
Haym Hirsh:
Learning the Classic Description Logic: Theoretical and Experimental Results.
KR 1994: 121-133 |
| 18 | | William W. Cohen:
Grammatically Biased Learning: Learning Logic Programs Using an Explicit Antecedent Description Language.
Artif. Intell. 68(2): 303-366 (1994) |
| 17 | | William W. Cohen:
Incremental Abductive EBL.
Machine Learning 15(1): 5-24 (1994) |
| 16 | | William W. Cohen,
Haym Hirsh:
The Learnability of Description Logics with Equality Constraints.
Machine Learning 17(2-3): 169-199 (1994) |
| 1993 |
|---|
| 15 | | William W. Cohen:
Cryptographic Limitations on Learning One-Clause Logic Programs.
AAAI 1993: 80-85 |
| 14 | | William W. Cohen:
Pac-Learning a Restricted Class of Recursive Logic Programs.
AAAI 1993: 86-92 |
| 13 | | William W. Cohen:
Efficient Pruning Methods for Separate-and-Conquer Rule Learning Systems.
IJCAI 1993: 988-994 |
| 12 | | William W. Cohen:
Creating a Memory of Casual Relationships (Book Review).
Machine Learning 10: 179-183 (1993) |
| 1992 |
|---|
| 11 | | William W. Cohen,
Alexander Borgida,
Haym Hirsh:
Computing Least Common Subsumers in Description Logics.
AAAI 1992: 754-760 |
| 10 | | William W. Cohen:
Desiderata for Generalization-to-N Algorithms.
AII 1992: 140-150 |
| 9 | EE | William W. Cohen,
Haym Hirsh:
Learnability of Description Logics.
COLT 1992: 116-127 |
| 8 | | William W. Cohen:
Using Distribution-Free Learning Theory to Analyze Solution Path Caching Mechan isms.
Computational Intelligence 8: 336-375 (1992) |
| 7 | | William W. Cohen:
Abductive Explanation-Based Learning: A Solution to the Multiple Inconsistent Explanation Problem.
Machine Learning 8: 167-219 (1992) |
| 1991 |
|---|
| 6 | | William W. Cohen:
The Generality of Overgenerality.
ML 1991: 490-494 |
| 1990 |
|---|
| 5 | | William W. Cohen:
Learning from Textbook Knowledge: A Case Study.
AAAI 1990: 743-748 |
| 4 | | William W. Cohen:
An Analysis of Representation Shift in Concept Learning.
ML 1990: 104-112 |
| 3 | | William W. Cohen:
Learning Approximate Control Rules of High Utility.
ML 1990: 268-276 |
| 1988 |
|---|
| 2 | | William W. Cohen:
Generalizing Number and Learning from Multiple Examples in Explanation Based Learning.
ML 1988: 256-269 |
| 1986 |
|---|
| 1 | EE | 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) |
