Buch, Englisch, 259 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 423 g
11th International Conference, ILP 2001, Strasbourg, France, September 9-11, 2001. Proceedings
Buch, Englisch, 259 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 423 g
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-540-42538-0
Verlag: Springer Berlin Heidelberg
(where the frontier - tween induction and abduction wanes). New learning re?nement operators are proposed by L. Badea, while R. Otero investigates negation-handling settings.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Rechnerarchitektur
- Mathematik | Informatik EDV | Informatik Informatik Logik, formale Sprachen, Automaten
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
Weitere Infos & Material
A Refinement Operator for Theories.- Learning Logic Programs with Neural Networks.- A Genetic Algorithm for Propositionalization.- Classifying Uncovered Examples by Rule Stretching.- Relational Learning Using Constrained Confidence-Rated Boosting.- Induction, Abduction, and Consequence-Finding.- From Shell Logs to Shell Scripts.- An Automated ILP Server in the Field of Bioinformatics.- Adaptive Bayesian Logic Programs.- Towards Combining Inductive Logic Programming with Bayesian Networks.- Demand-Driven Construction of Structural Features in ILP.- Transformation-Based Learning Using Multirelational Aggregation.- Discovering Associations between Spatial Objects: An ILP Application.- ?-Subsumption in a Constraint Satisfaction Perspective.- Learning to Parse from a Treebank: Combining TBL and ILP.- Induction of Stable Models.- Application of Pruning Techniques for Propositional Learning to Progol.- Application of ILP to Cardiac Arrhythmia Characterization for Chronicle Recognition.- Efficient Cross-Validation in ILP.- Modelling Semi-structured Documents with Hedges for Deduction and Induction.- Learning Functions from Imperfect Positive Data.
