Inductive logic programming : 9th International Workshop, ILP-99, Bled, Slovenia, June 24 27, 1999 : proceedings
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| Format: | Livre numérique |
| Idioma: | Anglais |
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Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Col·lecció: | Lecture notes in computer science. Lecture notes in artificial intelligence
1634 |
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| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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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, 9th International Workshop, ILP-99, Bled, Slovenia, June 1999, proceedings, Sašo Džeroski, Peter Flach (eds.), 1999, Berlin, Springer, 1 vol. (VIII-302 p.), Lecture notes in computer science, 3-540-66109-3 • Inductive Logic Programming, Texte imprimé, 9783662186336 |
Taula de continguts:
- I Invited Papers
- Probabilistic Relational Models
- Inductive Databases
- Some Elements of Machine Learning
- II Contributed Papers
- Refinement Operators Can Be (Weakly) Perfect
- Combining Divide-and-Conquer and Separate-and-Conquer for Efficient and Effective Rule Induction
- Refining Complete Hypotheses in ILP
- Acquiring Graphic Design Knowledge with Nonmonotonic Inductive Learning
- Morphosyntactic Tagging of Slovene Using Progol
- Experiments in Predicting Biodegradability
- 1BC: A First-Order Bayesian Classifier
- Sorted Downward Refinement: Building Background Knowledge into a Refinement Operator for Inductive Logic Programming
- A Strong Complete Schema for Inductive Functional Logic Programming
- Application of Different Learning Methods to Hungarian Part-of-Speech Tagging
- Combining LAPIS and WordNet for the Learning of LR Parsers with Optimal Semantic Constraints
- Learning Word Segmentation Rules for Tag Prediction
- Approximate ILP Rules by Backpropagation Neural Network: A Result on Thai Character Recognition
- Rule Evaluation Measures: A Unifying View
- Improving Part of Speech Disambiguation Rules by Adding Linguistic Knowledge
- On Sufficient Conditions for Learnability of Logic Programs from Positive Data
- A Bounded Search Space of Clausal Theories
- Discovering New Knowledge from Graph Data Using Inductive Logic Programming
- Analogical Prediction
- Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms
- Theory Recovery
- Instance based function learning
- Some Properties of Inverse Resolution in Normal Logic Programs
- An Assessment of ILP-assisted models for toxicology and the PTE-3 experiment.