William W. Cohen's Papers: Inductive Logic Programming

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  1. William Yang Wang, Kathryn Mazaitis, Ni Lao, Tom Mitchell, and William W. Cohen (2014): Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic in arxiv 1404-3301.
  2. William Yang Wang, Kathryn Mazaitis, William W. Cohen (2013): Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic in CIKM-2013 (Honorable Mention for Best Paper at CIKM-2013). (Originally published as: William Yang Wang, Kathryn Mazaitis, William W. Cohen (2013): Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic in arxiv 1305.2254; William Yang Wang, Kathryn Mazaitis, William W. Cohen (2013): Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic in ICML 2103 Workshop on Inferning).
  3. Andrew Arnold and William W. Cohen (2009): Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection in WASA-2009.
  4. Andrew Arnold and William W. Cohen (2009): Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection in ICWSM-2009 (poster).
  5. Noboru Matsuda, William Cohen, Jonathan Sewall, Gustavo Lacerda and Ken Koedinger (2007): Predicting students performance with a SimStudent that learns cognitive skills from observation in AIED-2007.
  6. Noboru Matsuda, William Cohen, Jonathan Sewall, Gustavo Lacerda and Ken Koedinger (2007): Evaluating a simulated student using real students data for training and testing in UM-2007.
  7. Noboru Matsuda, William Cohen & Ken Koedinger (2006): What characterizes a better demonstration for cognitive modeling by demonstration? in CMU SCS Technical Report Series (CMU-ML-06-106).
  8. Noboru Matsuda, William W. Cohen, Jonathan Sewall, Kenneth R. Koedinger (2006): Applying Machine Learning to Cognitive Modeling for Cognitive Tutors in CMU SCS Technical Report Series (CMU-ML-06-105).
  9. Noboru Matsuda, William Cohen & Ken Koedinger (2005): An Intelligent Authoring System with Programming by Demonstration. in Proceedings of the Japan National Conference on Information and Systems in Education.
  10. Noboru Matsuda, William Cohen & Ken Koedinger (2005): Building Cognitive Tutors with Programming by Demonstration in ILP-2005 (late-breaking paper).
  11. Noboru Matsuda, William Cohen & Ken Koedinger (2005): Applying Programming by Demonstration in an Intelligent Authoring Tool for Cognitive Tutors in AAAI Workshop on Human Comprehensible Machine Learning.
  12. William W. Cohen & Prem Devanbu (2000): Automatically Exploring Hypotheses about Fault Prediction: a Comparative Study of Inductive Logic Programming Methods in International Journal of Software Engineering and Knowledge Engineering 9(5): 519-546 (1999). (Originally published as: William W. Cohen and Prem Devanbu (1997): A Comparative Study of Inductive Logic Programming Methods for Software Fault Prediction in ICML 1997: 66-74).
  13. William W. Cohen (1998): Hardness Results for Learning First-Order Representations and Programming by Demonstration in Machine Learning 30(1): 57-87 (1998). (Originally published as: William W. Cohen (1996): The Dual DFA Learning Problem: Hardness Results for Programming by Demonstration and Learning First-Order Representations (Extended Abstract) in COLT 1996: 29-40).
  14. William W. Cohen (1995): Pac-learning non-recursive prolog clauses in Artif. Intell. 79(1): 1-38 (1995).
  15. William W. Cohen (1995): Learning to Classify English Text with ILP Methods in Advances in ILP, ed. L. de Readt, IOS Press.
  16. William W. Cohen (1995): Text categorization and relational learning in ICML 1995: 124-132.
  17. William W. Cohen and C. David Page Jr (1995): Polynomial learnability and inductive logic programming: Methods and results in New Generation Comput. 13(3&4): 369-409 (1995).
  18. William W. Cohen (1995): Pac-learning recursive logic programs: Efficient algorithms in J. Artif. Intell. Res. (JAIR) 2: 501-539 (1995).
  19. William W. Cohen (1995): Pac-learning recursive logic programs: Negative results in J. Artif. Intell. Res. (JAIR) 2: 541-573 (1995).
  20. William W. Cohen (1994): Pac-learning nondeterminate Clauses in AAAI 1994: 676-681.
  21. William W. Cohen (1994): Grammatically biased learning: learning logic programs using an explicit antecedent description language in Artif. Intell. 68(2): 303-366 (1994).
  22. William W. Cohen (1993): Cryptographic limitations on learning one-clause logic programs in AAAI 1993: 80-85.
  23. William W. Cohen (1993): Rapid prototyping of ILP systems using explicit bias in Proc. of the 1993 IJCAI Workshop on Inductive Logic Programming.
  24. William W. Cohen (1993): Pac-learning a restricted class of recursive logic programs in AAAI 1993: 86-92.
  25. William W. Cohen (1992): Compiling prior knowledge into an explicit bias in ICML 1992: 102-110.
  26. William W. Cohen (1993): Learnability of Restricted Logic Programs in Proc. of the Third International Workshop on Inductive Logic Programming (ILP-93).

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