Inductive Logic Programming 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Matwin, Stan (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sammut, Claude (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
• Έκδοση: 1st ed. 2003.
• Σειρά: Lecture Notes in Artificial Intelligence ; 2583
• Θέματα: Software engineering.; Artificial intelligence.; Computer science.; Computer programming.; Algorithms.; Mathematical logic.; Software Engineering/Programming and Operating Systems.; Artificial Intelligence.; Computer Science, general.; Programming Techniques.; Algorithm Analysis and Problem Complexity.; Mathematical Logic and Formal Languages.

The Twelfth International Conference on Inductive Logic Programming was held in Sydney, Australia, July 9-11, 2002. The conference was colocated with two other events, the Nineteenth International Conference on Machine Learning (ICML2002) and the Fifteenth Annual Conference on Computational Learning...

Πίνακας περιεχομένων:

• Contributed Papers
• Propositionalization for Clustering Symbolic Relational Descriptions
• Efficient and Effective Induction of First Order Decision Lists
• Learning with Feature Description Logics
• An Empirical Evaluation of Bagging in Inductive Logic Programming
• Kernels for Structured Data
• Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming Systems
• Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners
• Learnability of Description Logic Programs
• 1BC2: A True First-Order Bayesian Classifier
• RSD: Relational Subgroup Discovery through First-Order Feature Construction
• Mining Frequent Logical Sequences with SPIRIT-LoG
• Using Theory Completion to Learn a Robot Navigation Control Program
• Learning Structure and Parameters of Stochastic Logic Programs
• A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammars
• Revision of First-Order Bayesian Classifiers
• The Applicability to ILP of Results Concerning the Ordering of Binomial Populations
• Compact Representation of Knowledge Bases in ILP
• A Polynomial Time Matching Algorithm of Structured Ordered Tree Patterns for Data Mining from Semistructured Data
• A Genetic Algorithms Approach to ILP
• Experimental Investigation of Pruning Methods for Relational Pattern Discovery
• Noise-Resistant Incremental Relational Learning Using Possible Worlds
• Lattice-Search Runtime Distributions May Be Heavy-Tailed
• Invited Talk Abstracts
• Learning in Rich Representations: Inductive Logic Programming and Computational Scientific Discovery.