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## Search the dblp DataBase
Charles Elkan:
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## Publications of Author- Charles Elkan
**Independence of Logic Database Queries and Updates.**[Citation Graph (9, 16)][DBLP] PODS, 1990, pp:154-160 [Conf] - Charles Elkan
**A Decision Procedure for Conjunctive Query Disjointness.**[Citation Graph (4, 11)][DBLP] PODS, 1989, pp:134-139 [Conf] - Alvaro E. Monge, Charles Elkan
**An Efficient Domain-Independent Algorithm for Detecting Approximately Duplicate Database Records.**[Citation Graph (3, 0)][DBLP] DMKD, 1997, pp:0-0 [Conf] - Charles Elkan
**The Paradoxical Success of Fuzzy Logic.**[Citation Graph (1, 0)][DBLP] AAAI, 1993, pp:698-703 [Conf] - Charles Elkan, David A. McAllester
**Automated Inductive Reasoning about Logic Programs.**[Citation Graph (1, 0)][DBLP] ICLP/SLP, 1988, pp:876-892 [Conf] - Alvaro E. Monge, Charles Elkan
**The Field Matching Problem: Algorithms and Applications.**[Citation Graph (1, 0)][DBLP] KDD, 1996, pp:267-270 [Conf] - Charles Elkan
**A Rational Reconstruction of Nonmonotonic Truth Maintenance Systems.**[Citation Graph (1, 0)][DBLP] Artif. Intell., 1990, v:43, n:2, pp:219-234 [Journal] - Charles Elkan
**Incremental, Approximate Planning.**[Citation Graph (0, 0)][DBLP] AAAI, 1990, pp:145-150 [Conf] - Charles Elkan
**Reasoning about Unknown, Counterfactual, and Nondeterministic Actions in First-Order Logic.**[Citation Graph (0, 0)][DBLP] Canadian Conference on AI, 1996, pp:54-68 [Conf] - Karan Bhatia, Charles Elkan
**LPMEME: A Statistical Method for Inductive Logic Programming.**[Citation Graph (0, 0)][DBLP] Canadian Conference on AI, 1996, pp:227-239 [Conf] - Greg Hamerly, Charles Elkan
**Alternatives to the k-means algorithm that find better clusterings.**[Citation Graph (0, 0)][DBLP] CIKM, 2002, pp:600-607 [Conf] - David Kauchak, Charles Elkan
**Learning Rules to Improve a Machine Translation System.**[Citation Graph (0, 0)][DBLP] ECML, 2003, pp:205-216 [Conf] - Charles Elkan
**Using the Triangle Inequality to Accelerate k-Means.**[Citation Graph (0, 0)][DBLP] ICML, 2003, pp:147-153 [Conf] - Charles Elkan
**Clustering documents with an exponential-family approximation of the Dirichlet compound multinomial distribution.**[Citation Graph (0, 0)][DBLP] ICML, 2006, pp:289-296 [Conf] - Greg Hamerly, Charles Elkan
**Bayesian approaches to failure prediction for disk drives.**[Citation Graph (0, 0)][DBLP] ICML, 2001, pp:202-209 [Conf] - Rasmus Elsborg Madsen, David Kauchak, Charles Elkan
**Modeling word burstiness using the Dirichlet distribution.**[Citation Graph (0, 0)][DBLP] ICML, 2005, pp:545-552 [Conf] - Eric Wiewiora, Garrison W. Cottrell, Charles Elkan
**Principled Methods for Advising Reinforcement Learning Agents.**[Citation Graph (0, 0)][DBLP] ICML, 2003, pp:792-799 [Conf] - Bianca Zadrozny, Charles Elkan
**Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers.**[Citation Graph (0, 0)][DBLP] ICML, 2001, pp:609-616 [Conf] - Timothy L. Bailey, Charles Elkan
**Estimating the Accuracy of Learned Concepts.**[Citation Graph (0, 0)][DBLP] IJCAI, 1993, pp:895-901 [Conf] - Charles Elkan
**The Foundations of Cost-Sensitive Learning.**[Citation Graph (0, 0)][DBLP] IJCAI, 2001, pp:973-978 [Conf] - Charles Elkan
**Conspiracy Numbers and Caching for Searching And/Or Trees and Theorem-Proving.**[Citation Graph (0, 0)][DBLP] IJCAI, 1989, pp:341-348 [Conf] - Russell Greiner, Charles Elkan
**Measuring and Improving the Effectiveness of Representations.**[Citation Graph (0, 0)][DBLP] IJCAI, 1991, pp:518-524 [Conf] - Timothy L. Bailey, Charles Elkan
**Fitting a Mixture Model By Expectation Maximization To Discover Motifs In Biopolymer.**[Citation Graph (0, 0)][DBLP] ISMB, 1994, pp:28-36 [Conf] - Timothy L. Bailey, Charles Elkan
**The Value of Prior Knowledge in Discovering Motifs with MEME.**[Citation Graph (0, 0)][DBLP] ISMB, 1995, pp:21-29 [Conf] - Charles Elkan
**Magical thinking in data mining: lessons from CoIL challenge 2000.**[Citation Graph (0, 0)][DBLP] KDD, 2001, pp:426-431 [Conf] - Charles Elkan
**Shared challenges in data mining and computational biology (abstract of invited talk).**[Citation Graph (0, 0)][DBLP] BIOKDD, 2001, pp:44- [Conf] - Andrew T. Smith, Charles Elkan
**A Bayesian network framework for reject inference.**[Citation Graph (0, 0)][DBLP] KDD, 2004, pp:286-295 [Conf] - Bianca Zadrozny, Charles Elkan
**Learning and making decisions when costs and probabilities are both unknown.**[Citation Graph (0, 0)][DBLP] KDD, 2001, pp:204-213 [Conf] - Bianca Zadrozny, Charles Elkan
**Transforming classifier scores into accurate multiclass probability estimates.**[Citation Graph (0, 0)][DBLP] KDD, 2002, pp:694-699 [Conf] - Charles Elkan
**Logical Characterizations of Nonmonotonic TMSs.**[Citation Graph (0, 0)][DBLP] MFCS, 1989, pp:218-224 [Conf] - Greg Hamerly, Charles Elkan
**Learning the k in k-means.**[Citation Graph (0, 0)][DBLP] NIPS, 2003, pp:- [Conf] - Charles Elkan
**Deriving TF-IDF as a Fisher Kernel.**[Citation Graph (0, 0)][DBLP] SPIRE, 2005, pp:295-300 [Conf] - Charles Elkan, Russell Greiner
**D. B. Lenat and R. V. Guha, Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project.**[Citation Graph (0, 0)][DBLP] Artif. Intell., 1993, v:61, n:1, pp:41-52 [Journal] - Alberto Maria Segre, Charles Elkan
**A High-Performance Explanation-Based Learning Algorithm.**[Citation Graph (0, 0)][DBLP] Artif. Intell., 1994, v:69, n:1-2, pp:1-50 [Journal] - Alberto Maria Segre, Geoffrey J. Gordon, Charles Elkan
**Exploratory Analysis of Speedup Learning Data Using Epectation Maximization.**[Citation Graph (0, 0)][DBLP] Artif. Intell., 1996, v:85, n:1-2, pp:301-319 [Journal] - William Noble Grundy, Timothy L. Bailey, Charles Elkan
**ParaMEME: a parallel implementation and a web interface for a DNA and protein motif discovery tool.**[Citation Graph (0, 0)][DBLP] Computer Applications in the Biosciences, 1996, v:12, n:4, pp:303-310 [Journal] - William Noble Grundy, Timothy L. Bailey, Charles Elkan, Michael E. Baker
**Meta-MEME: motif-based hidden Markov models of protein families.**[Citation Graph (0, 0)][DBLP] Computer Applications in the Biosciences, 1997, v:13, n:4, pp:397-406 [Journal] - Charles Elkan
**The Paradoxical Success of Fuzzy Logic.**[Citation Graph (0, 0)][DBLP] IEEE Expert, 1994, v:9, n:4, pp:3-8 [Journal] - Charles Elkan
**Elkan's Reply: The Paradoxical Controversy over Fuzzy Logic.**[Citation Graph (0, 0)][DBLP] IEEE Expert, 1994, v:9, n:4, pp:47-49 [Journal] - Charles Elkan
**Paradoxes of fuzzy logic, revisited.**[Citation Graph (0, 0)][DBLP] Int. J. Approx. Reasoning, 2001, v:26, n:2, pp:153-155 [Journal] - David Kauchak, Joseph Smarr, Charles Elkan
**Sources of Success for Boosted Wrapper Induction.**[Citation Graph (0, 0)][DBLP] Journal of Machine Learning Research, 2004, v:5, n:, pp:499-527 [Journal] - Timothy L. Bailey, Charles Elkan
**Unsupervised Learning of Multiple Motifs in Biopolymers Using Expectation Maximization.**[Citation Graph (0, 0)][DBLP] Machine Learning, 1995, v:21, n:1-2, pp:51-80 [Journal] - Alberto Maria Segre, Charles Elkan, Alexander Russell
**A Critical Look at Experimental Evaluations of EBL.**[Citation Graph (0, 0)][DBLP] Machine Learning, 1991, v:6, n:, pp:183-195 [Journal] - Charles Elkan
**Results of the KDD'99 Classifier Learning.**[Citation Graph (0, 0)][DBLP] SIGKDD Explorations, 2000, v:1, n:2, pp:63-64 [Journal] - Charles Elkan
**KDD'99 Knowledge Discovery Contest.**[Citation Graph (0, 0)][DBLP] SIGKDD Explorations, 2000, v:1, n:2, pp:78- [Journal] - Fredrik Farnstrom, James Lewis, Charles Elkan
**Scalability for Clustering Algorithms Revisited.**[Citation Graph (0, 0)][DBLP] SIGKDD Explorations, 2000, v:2, n:1, pp:51-57 [Journal] - Douglas Turnbull, Charles Elkan
**Fast Recognition of Musical Genres Using RBF Networks.**[Citation Graph (0, 0)][DBLP] IEEE Trans. Knowl. Data Eng., 2005, v:17, n:4, pp:580-584 [Journal] - Andrew T. Smith, Charles Elkan
**Making generative classifiers robust to selection bias.**[Citation Graph (0, 0)][DBLP] KDD, 2007, pp:657-666 [Conf] - Sanmay Das, Milton H. Saier Jr., Charles Elkan
**Finding Transport Proteins in a General Protein Database.**[Citation Graph (0, 0)][DBLP] PKDD, 2007, pp:54-66 [Conf] **Learning to Find Relevant Biological Articles without Negative Training Examples.**[Citation Graph (, )][DBLP]**Learning a two-stage SVM/CRF sequence classifier.**[Citation Graph (, )][DBLP]**Accounting for burstiness in topic models.**[Citation Graph (, )][DBLP]**Learning classifiers from only positive and unlabeled data.**[Citation Graph (, )][DBLP]**Learning gene regulatory networks from only positive and unlabeled data.**[Citation Graph (, )][DBLP]**Technical perspective - Creativity helps influence prediction precision.**[Citation Graph (, )][DBLP]**Dyadic Prediction Using a Latent Feature Log-Linear Model**[Citation Graph (, )][DBLP]
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