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Note: Links lead to the DBLP on the Web. Mark Craven 22 Marios Skounakis , Mark Craven: Evidence combination in biomedical natural-language processing. BIOKDD 2003 : 25-32 21 Joseph Bockhorst , Yu Qiu , Jeremy D. Glasner , Mingzhu Liu , Frederick R. Blattner , Mark Craven: Predicting bacterial transcription units using sequence and expression data. ISMB (Supplement of Bioinformatics) 2003 : 34-43 20 Joseph Bockhorst , Mark Craven, David Page , Jude Shavlik , Jeremy Glasner : A Bayesian Network Approach to Operon Prediction. Bioinformatics 19 (10): 1227-1235 (2003) 19 Joseph Bockhorst , Mark Craven: Exploiting Relations Among Concepts to Acquire Weakly Labeled Training Data. ICML 2002 : 43-50 18 Mark Craven: The Genomics of a Signaling Pathway: A KDD Cup Challenge Task. SIGKDD Explorations 4 (2): 97-98 (2002) 17 Soumya Ray , Mark Craven: Representing Sentence Structure in Hidden Markov Models for Information Extraction. IJCAI 2001 : 1273-1279 16 Joseph Bockhorst , Mark Craven: Refining the Structure of a Stochastic Context-Free Grammar. IJCAI 2001 : 1315-1322 15 Mark Craven, Seán Slattery : Relational Learning with Statistical Predicate Invention: Better Models for Hypertext. Machine Learning 43 (1/2): 97-119 (2001) 14 Mark Craven, David Page , Jude W. Shavlik , Joseph Bockhorst , Jeremy D. Glasner : Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes. ICML 2000 : 199-206 13 Mark Craven, David Page , Jude W. Shavlik , Joseph Bockhorst , Jeremy D. Glasner : A Probabilistic Learning Approach to Whole-Genome Operon Prediction. ISMB 2000 : 116-127 12 Mark Craven, Dan DiPasquo , Dayne Freitag , Andrew McCallum , Tom M. Mitchell , Kamal Nigam , Seán Slattery : Learning to construct knowledge bases from the World Wide Web. Artificial Intelligence 118 (1-2): 69-113 (2000) 11 Mark Craven, Johan Kumlien : Constructing Biological Knowledge Bases by Extracting Information from Text Sources. ISMB 1999 : 77-86 10 Mark Craven, Dan DiPasquo , Dayne Freitag , Andrew McCallum , Tom M. Mitchell , Kamal Nigam , Seán Slattery : Learning to Extract Symbolic Knowledge from the World Wide Web. AAAI/IAAI 1998 : 509-516 9 Mark Craven, Seán Slattery , Kamal Nigam : First-Order Learning for Web Mining. ECML 1998 : 250-255 8 Seán Slattery , Mark Craven: Combining Statistical and Relational Methods for Learning in Hypertext Domains. ILP 1998 : 38-52 7 Mark Craven, Richard J. Mural , Loren J. Hauser , Edward C. Uberbacher : Predicting Protein Folding Classes without Overly Relying on Homology. ISMB 1995 : 98-106 6 Mark Craven, Jude W. Shavlik : Extracting Tree-Structured Representations of Trained Networks. NIPS 1995 : 24-30 5 Jeffrey C. Jackson , Mark Craven: Learning Sparse Perceptrons. NIPS 1995 : 654-660 4 Mark Craven, Jude W. Shavlik : Using Sampling and Queries to Extract Rules from Trained Neural Networks. ICML 1994 : 37-45 3 Mark Craven, Jude W. Shavlik : Learning Symbolic Rules Using Artificial Neural Networks. ICML 1993 : 73-80 2 Mark Craven, Jude W. Shavlik : Learning to Represent Codons: A Challenge Problem for Constructive Induction. IJCAI 1993 : 1319-1324 1 Geoffrey G. Towell , Mark Craven, Jude W. Shavlik : Constructive Induction in Knowledge-Based Neural Networks. ML 1991 : 213-217  DiSC'03 © 2003 Association for Computing Machinery |
