12. ILP 2002: Sydney, Australia

@proceedings{DBLP:conf/ilp/2002,
  editor    = {Stan Matwin and
               Claude Sammut},
  title     = {Inductive Logic Programming, 12th International Conference, ILP
               2002, Sydney, Australia, July 9-11, 2002. Revised Papers},
  booktitle = {ILP},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {2583},
  year      = {2003},
  isbn      = {3-540-00567-6},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Contributed Papers

• Isabelle Bournaud, Mélanie Courtine, Jean-Daniel Zucker:
  Propositionalization for Clustering Symbolic Relational Descriptions. 1-16
  
• Mary Elaine Califf:
  Efficient and Effective Induction of First Order Decision Lists. 17-31
  
• Chad M. Cumby, Dan Roth:
  Learning with Feature Description Logics. 32-47
  
• Inês de Castro Dutra, David Page, Vítor Santos Costa, Jude W. Shavlik:
  An Empirical Evaluation of Bagging in Inductive Logic Programming. 48-65
  
• Thomas Gärtner, John W. Lloyd, Peter A. Flach:
  Kernels for Structured Data. 66-83
  
• Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Cook:
  Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming Systems. 84-100
  
• David Jensen, Jennifer Neville:
  Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners. 101-116
  
• Jörg-Uwe Kietz:
  Learnability of Description Logic Programs. 117-132
  
• Nicolas Lachiche, Peter A. Flach:
  1BC2: A True First-Order Bayesian Classifier. 133-148
  
• Nada Lavrac, Filip Zelezný, Peter A. Flach:
  RSD: Relational Subgroup Discovery through First-Order Feature Construction. 149-165
  
• Cyrille Masson, François Jacquenet:
  Mining Frequent Logical Sequences with SPIRIT-L^oG. 166-181
  
• Stephen Moyle:
  Using Theory Completion to Learn a Robot Navigation Control Program. 182-197
  
• Stephen Muggleton:
  Learning Structure and Parameters of Stochastic Logic Programs. 198-206
  
• Alain Ratle, Michèle Sebag:
  A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammars. 207-222
  
• Kate Revoredo, Gerson Zaverucha:
  Revision of First-Order Bayesian Classifiers. 223-237
  
• Ashwin Srinivasan:
  The Applicability to ILP of Results Concerning the Ordering of Binomial Populations. 238-253
  
• Jan Struyf, Jan Ramon, Hendrik Blockeel:
  Compact Representation of Knowledge Bases in ILP. 254-269
  
• Yusuke Suzuki, Kohtaro Inomae, Takayoshi Shoudai, Tetsuhiro Miyahara, Tomoyuki Uchida:
  A Polynomial Time Matching Algorithm of Structured Ordered Tree Patterns for Data Mining from Semistructured Data. 270-284
  
• Alireza Tamaddoni-Nezhad, Stephen Muggleton:
  A Genetic Algorithms Approach to ILP. 285-300
  
• Irene Weber:
  Experimental Investigation of Pruning Methods for Relational Pattern Discovery. 301-316
  
• James Westendorp:
  Noise-Resistant Incremental Relational Learning Using Possible Worlds. 317-332
  
• Filip Zelezný, Ashwin Srinivasan, David Page:
  Lattice-Search Runtime Distributions May Be Heavy-Tailed. 333-345
  

Invited Talk Abstract

• Saso Dzeroski:
  Learning in Rich Representations: Inductive Logic Programming and Computational Scientific Discovery. 346-349
  

Last update Fri May 25 08:22:41 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page