Separate-and-Conquer Rule Learning

Keywords

Computer science, Overfitting, Inductive bias, Inductive logic programming, Popularity

References

• Discrimination-Based Constructive Induction of Logic ProgramsBoonserm Kijsirikul, Masayuki Numao, Masamichi Shimura — 1992
• Foundations of logic programming; (2nd extended ed.)John W. Lloyd — 1987
• Reduced Complexity Rule InductionSholom M. Weiss, Nitin Indurkhya — 1991
• Induction as Nonmonotonic InferenceNicolas Helft — 1989
• An Interactive System to Learn Functional Logic ProgramsFrancesco Bergadano, Daniele Gunetti — 1993
• A bidirectional ILP algorithmMarkus Wiese — 1996
• Covering vs. Divide-and-Conquer for Top-Down Induction of Logic ProgramsHenrik Boström — 1995
• Generating Production Rules from Decision TreesJ. R. Quinlan — 1987
• Concept Learning and the Problem of Small DisjunctsRobert C. Holte, Liane Acker, Bruce Porter — 1989
• Comparison of Search Strategies in Learning RelationsMarco Botta, Attilio Giordana, Lorenza Saitta — 1992
• Structural Regression TreesStefan Krämer — 1996
• Information-Theoretic Rule InductionR.M. Goodman, Padhraic Smyth — 1988
• Avoiding Pitfalls When Learning Recursive TheoriesR. Mike Cameron-Jones, J. R. Quinlan — 1993
• SMART+: A Multi-Strategy Learning ToolMarco Botta, Attilio Giordana — 1993
• Efficient Pruning Methods for Separate-and-Conquer Rule Learning SystemsWilliam W. Cohen — 1993
• HYDRA: A Noise-tolerant Relational Concept Learning AlgorithmKamal Ali, Michael J. Pazzani — 1993
• Rule-Based RegressionSholom M. Weiss, Nitin Indurkhya — 1993
• Combining Knowledge-Based and Instance-Based Learning to Exploit Qualitative KnowledgeGerhard Widmer — 1993
• Learning Decision Lists Using Homogeneous RulesRichard Segal, Oren Etzioni — 1994
• An Algorithm that Infers Theories from FactsEhud Shapiro — 1981

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• Self-improving immunization policies for complex networksPhilippe J. Giabbanelli — 2009
• Interpretable ensembles of local models for safety-related applicationsSebastian Nusser, Clemens Otte, Werner Hauptmann — 2008
• Spaces of theories with ideal refinement operatorsNicola Fanizzi, Stefano Ferilli, Nicola Di Mauro — 2003
• On Trading Off Consistency and Coverage in Inductive Rule LearningFrederik Janssen, Johannes Fürnkranz — 2006
• EVADING: An Evolutionary Algorithm with Dynamic Niching for Data ClassificationJohn Psaroudakis, Fani A. Tzima, Pericles A. Mitkas — 2009
• Hybrid fuzzy model based expert system for misfire detection in automobile enginesS. Babu Devasenapati, K.I. Ramachandran — 2011
• Hyper-rectangle-based discriminative data generalization and applications in data miningByron J. Gao — 2006
• Contributions to Bayesian network learning with applications to neurosciencePedro L. López-Cruz — 2013
• ROCCER: An Algorithm for Rule Learning Based on ROC AnalysisRonaldo C. Prati, Peter Flach — 2005
• ROCCER: A ROC convex hull rule learning algorithmRonaldo C. Prati, Peter Flach — 2004
• MapReduce network enabled algorithms for classification based on association rulesSuhel Hammoud — 2011
• MERBIS - A Multi-Objective Evolutionary Rule Base Induction SystemChristian Setzkorn, Ray C. Paton — 2003
• Exact Rule Learning via Boolean Compressed SensingDmitry Malioutov, Kush R. Varshney — 2013
• Avoiding Data Overfitting in Scientific Discovery: Experiments in Functional GenomicsDragan Gamberger, Nada Lavrač — 2004
• Learning Predictive Clustering RulesBernard Ženko, Sašo Džeroski, Jan Struyf — 2005
• SEMANTIC DOCUMENT CLUSTERING FOR CRIME INVESTIGATIONKabi G. Daghir — 2011
• An Analysis of Rule Learning HeuristicsJohannes Fürnkranz, Peter Flach — 2003
• Improving Emergency Department Patient Flow Through Near Real-Time AnalyticsShanshan Qiu — 2014

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