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Note: Links lead to the DBLP on the Web. Charles Elkan 35 Greg Hamerly , Charles Elkan: Alternatives to the k-means algorithm that find better clusterings. CIKM 2002 : 600-607 34 Bianca Zadrozny , Charles Elkan: Transforming classifier scores into accurate multiclass probability estimates. KDD 2002 : 694-699 33 Charles Elkan: Shared challenges in data mining and computational biology (abstract of invited talk). BIOKDD 2001 : 44 32 Greg Hamerly , Charles Elkan: Bayesian approaches to failure prediction for disk drives. ICML 2001 : 202-209 31 Bianca Zadrozny , Charles Elkan: Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers. ICML 2001 : 609-616 30 Charles Elkan: The Foundations of Cost-Sensitive Learning. IJCAI 2001 : 973-978 29 Bianca Zadrozny , Charles Elkan: Learning and making decisions when costs and probabilities are both unknown. KDD 2001 : 204-213 28 Charles Elkan: Magical thinking in data mining: lessons from CoIL challenge 2000. KDD 2001 : 426-431 27 Charles Elkan: Results of the KDD'99 Classifier Learning. SIGKDD Explorations 1 (2): 63-64 (2000) 26 Charles Elkan: KDD'99 Knowledge Discovery Contest. SIGKDD Explorations 1 (2): 78 (2000) 25 Fredrik Farnstrom , James Lewis , Charles Elkan: Scalability for Clustering Algorithms Revisited. SIGKDD Explorations 2 (1): 51-57 (2000) 24 Timothy L. Bailey , Michael E. Baker , Charles Elkan, William Noble Grundy : MEME, MAST, and Meta-MEME: New Tools for Motif Discovery in Protein Sequences. Pattern Discovery in Biomolecular Data 1999 : 30-54 23 Alvaro E. Monge , Charles Elkan: An Efficient Domain-Independent Algorithm for Detecting Approximately Duplicate Database Records. DMKD 1997 : 0- 22 William Noble Grundy , Timothy L. Bailey , Charles Elkan, Michael E. Baker : Meta-MEME: motif-based hidden Markov models of protein families. Computer Applications in the Biosciences 13 (4): 397-406 (1997) 21 Karan Bhatia , Charles Elkan: LPMEME: A Statistical Method for Inductive Logic Programming. Canadian Conference on AI 1996 : 227-239 20 Charles Elkan: Reasoning about Unknown, Counterfactual, and Nondeterministic Actions in First-Order Logic. Canadian Conference on AI 1996 : 54-68 19 Alvaro E. Monge , Charles Elkan: The Field Matching Problem: Algorithms and Applications. KDD 1996 : 267-270 18 Alberto Maria Segre , Geoffrey J. Gordon , Charles Elkan: Exploratory Analysis of Speedup Learning Data Using Epectation Maximization. Artificial Intelligence 85 (1-2): 301-319 (1996) 17 William Noble Grundy , Timothy L. Bailey , Charles Elkan: ParaMEME: a parallel implementation and a web interface for a DNA and protein motif discovery tool. Computer Applications in the Biosciences 12 (4): 303-310 (1996) 16 Timothy L. Bailey , Charles Elkan: The Value of Prior Knowledge in Discovering Motifs with MEME. ISMB 1995 : 21-29 15 Timothy L. Bailey , Charles Elkan: Unsupervised Learning of Multiple Motifs in Biopolymers Using Expectation Maximization. Machine Learning 21 (1-2): 51-80 (1995) 14 Timothy L. Bailey , Charles Elkan: Fitting a Mixture Model By Expectation Maximization To Discover Motifs In Biopolymer. ISMB 1994 : 28-36 13 Alberto Maria Segre , Charles Elkan: A High-Performance Explanation-Based Learning Algorithm. Artificial Intelligence 69 (1-2): 1-50 (1994) 12 Charles Elkan: The Paradoxical Success of Fuzzy Logic. AAAI 1993 : 698-703 11 Timothy L. Bailey , Charles Elkan: Estimating the Accuracy of Learned Concepts. IJCAI 1993 : 895-901 10 Charles Elkan, Russell Greiner : D. B. Lenat and R. V. Guha, Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project. Artificial Intelligence 61 (1): 41-52 (1993) 9 Russell Greiner , Charles Elkan: Measuring and Improving the Effectiveness of Representations. IJCAI 1991 : 518-524 8 Alberto Maria Segre , Charles Elkan, Alexander Russell : A Critical Look at Experimental Evaluations of EBL. Machine Learning 6 : 183-195 (1991) 7 Charles Elkan: Incremental, Approximate Planning. AAAI 1990 : 145-150 6 Charles Elkan: Independence of Logic Database Queries and Updates. PODS 1990 : 154-160 5 Charles Elkan: A Rational Reconstruction of Nonmonotonic Truth Maintenance Systems. Artificial Intelligence 43 (2): 219-234 (1990) 4 Charles Elkan: Conspiracy Numbers and Caching for Searching And/Or Trees and Theorem-Proving. IJCAI 1989 : 341-348 3 Charles Elkan: Logical Characterizations of Nonmonotonic TMSs. MFCS 1989 : 218-224 2 Charles Elkan: A Decision Procedure for Conjunctive Query Disjointness. PODS 1989 : 134-139 1 Charles Elkan, David A. McAllester : Automated Inductive Reasoning about Logic Programs. ICLP/SLP 1988 : 876-892  DiSC'03 © 2003 Association for Computing Machinery |
