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Note: Links lead to the DBLP on the Web. Peter A. Flach 33 Peter A. Flach, Nada Lavrac : Learning in Clausal Logic: A Perspective on Inductive Logic Programming. Computational Logic: Logic Programming and Beyond 2002 : 437-471 32 Yonghong Peng , Peter A. Flach, Carlos Soares , Pavel Brazdil : Improved Dataset Characterisation for Meta-learning. Discovery Science 2002 : 141-152 31 Nada Lavrac , Peter A. Flach, Branko Kavsek , Ljupco Todorovski : Adapting classification rule induction to subgroup discovery. ICDM 2002 : 266-273 30 César Ferri , Peter A. Flach, José Hernández-Orallo : Learning Decision Trees Using the Area Under the ROC Curve. ICML 2002 : 139-146 29 Thomas Gärtner , Peter A. Flach, Adam Kowalczyk , Alex J. Smola : Multi-Instance Kernels. ICML 2002 : 179-186 28 Nicolas Lachiche , Peter A. Flach: 1BC2: A True First-Order Bayesian Classifier. ILP 2002 : 133-148 27 Nada Lavrac , Filip Zelezný , Peter A. Flach: RSD: Relational Subgroup Discovery through First-Order Feature Construction. ILP 2002 : 149-165 26 Thomas Gärtner , John W. Lloyd , Peter A. Flach: Kernels for Structured Data. ILP 2002 : 66-83 25 Luc De Raedt , Peter A. Flach: Machine Learning: EMCL 2001, 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001, Proceedings. Springer 2001 24 Peter A. Flach: Multi-relational Data Mining: a perspective. EPIA 2001 : 3-4 23 Thomas Gärtner , Peter A. Flach: WBCsvm: Weighted Bayesian Classification based on Support Vector Machines. ICML 2001 : 154-161 22 Peter A. Flach: On the state of the art in machine learning: A personal review. Artificial Intelligence 131 (1-2): 199-222 (2001) 21 Peter A. Flach, Nicolas Lachiche : Confirmation-Guided Discovery of First-Order Rules with Tertius. Machine Learning 42 (1/2): 61-95 (2001) 20 Peter A. Flach, Saso Dzeroski : Editorial: Inductive Logic Programming is Coming of Age. Machine Learning 44 (3): 207-209 (2001) 19 Nada Lavrac , Peter A. Flach: An extended transformation approach to inductive logic programming. TOCL 2 (4): 458-494 (2001) 18 Ljupco Todorovski , Peter A. Flach, Nada Lavrac : Predictive Performance of Weghted Relative Accuracy. PKDD 2000 : 255-264 17 Saso Dzeroski , Peter A. Flach: Inductive Logic Programming, 9th International Workshop, ILP-99, Bled, Slovenia, June 24-27, 1999, Proceedings. Springer 1999 16 Peter A. Flach: Knowledge Representation for Inductive Learning. ESCQARU 1999 : 160-167 15 Nada Lavrac , Peter A. Flach, Blaz Zupan : Rule Evaluation Measures: A Unifying View. ILP 1999 : 174-185 14 Peter A. Flach, Nicolas Lachiche : IBC: A First-Order Bayesian Classifier. ILP 1999 : 92-103 13 Peter A. Flach, Iztok Savnik : Database Dependency Discovery: A Machine Learning Approach. AI Communications 12 (3): 139-160 (1999) 12 Peter A. Flach, Christophe G. Giraud-Carrier , John W. Lloyd : Strongly Typed Inductive Concept Learning. ILP 1998 : 185-194 11 Peter A. Flach: Comparing Consequence Relations. KR 1998 : 180-189 10 Peter A. Flach: From Extensional to Intensional Knowledge: Inductive Logic Programming Techniques and Their Application to Deductive Databases. Transactions and Change in Logic Databases 1998 : 356-387 9 Peter A. Flach: Inductive Logic Databases: From Extensional to Intensional Knowledge. DOOD 1997 : 3 8 Peter A. Flach: Normal Forms for Inductive Logic Programming. ILP 1997 : 149-156 7 Peter A. Flach: Rationality Postulates for Induction. TARK 1996 : 267-281 6 Peter A. Flach: Predicate Invention in Inductive Data Engineering. ECML 1993 : 83-94 5 Peter A. Flach: An Analysis of Various Forms of "Jumping to Conclusions". AII 1992 : 170-186 4 Peter A. Flach: A Model of Inductive Reasoning. Logic at Work 1992 : 41-56 3 Shan-Hwei Nienhuys-Cheng , Peter A. Flach: Consistent Term Mappings, Term Partitions and Inverse Resolution. EWSL 1991 : 361-374 2 Peter A. Flach: Towards a Theory of Inductive Logic Programming. ISMIS 1991 : 510-519 1 Peter A. Flach: Second-order Inductive Learning. AII 1989 : 202-216  DiSC'03 © 2003 Association for Computing Machinery |
