Inductive logic programming : 12th international conference, ILP 2002, Sydney, Australia, July 9-11, 2002 : revised papers
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...
Tallennettuna:
| Yhteisötekijä: | |
|---|---|
| Muut tekijät: | , |
| Aineistotyyppi: | Livre numérique |
| Kieli: | Anglais |
| Julkaistu: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Sarja: | Lecture notes in computer science. Lecture notes in artificial intelligence
2583 |
| Aiheet: | |
| Linkit: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Huomautus: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Inductive logic programming, 12th international conference, ILP 2002, Sydney, Australia, July 9-11, 2002, revised papers, Stan Matwin, Claude Sammut (eds.), Berlin, Springer, 2003, 1 vol. (X-349 p.), Lecture notes in computer science, 3-540-00567-6 • Inductive Logic Programming, Texte imprimé, 9783662165614 |
Sisällysluettelo:
- 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.