Inductive logic programming : 13th international conference, ILP 2003, Szeged, Hungary, September 29 - October 1, 2003 : proceedings

Salvato in:
Dettagli Bibliografici
Ente Autore: Inductive Logic Programming :Szeged, Hungary
Altri autori: Yamamoto, Akihiro (Direttore editoriale), Horváth, Tamás (Direttore editoriale)
Natura: Livre numérique
Lingua:Anglais
Pubblicazione: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Serie:Lecture notes in computer science. Lecture notes in artificial intelligence 2835
Soggetti:
Accesso online:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: 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, 13th international conference, ILP 2003, Szeged, Hungary, September 29 - October 1, 2003, proceedings, Tamás Horváth, Akihiro Yamamoto (eds.), Berlin, Springer, 2003, 1 vol. (X-400 p.), Lecture notes in computer science, 3-540-20144-0
• Inductive Logic Programming, Texte imprimé, 9783662186466
Sommario:
  • Invited Papers
  • A Personal View of How Best to Apply ILP
  • Agents that Reason and Learn
  • Research Papers
  • Mining Model Trees: A Multi-relational Approach
  • Complexity Parameters for First-Order Classes
  • A Multi-relational Decision Tree Learning Algorithm Implementation and Experiments
  • Applying Theory Revision to the Design of Distributed Databases
  • Disjunctive Learning with a Soft-Clustering Method
  • ILP for Mathematical Discovery
  • An Exhaustive Matching Procedure for the Improvement of Learning Efficiency
  • Efficient Data Structures for Inductive Logic Programming
  • Graph Kernels and Gaussian Processes for Relational Reinforcement Learning
  • On Condensation of a Clause
  • A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting
  • Comparative Evaluation of Approaches to Propositionalization
  • Ideal Refinement of Descriptions in -Log
  • Which First-Order Logic Clauses Can Be Learned Using Genetic Algorithms?
  • Improved Distances for Structured Data
  • Induction of Enzyme Classes from Biological Databases
  • Estimating Maximum Likelihood Parameters for Stochastic Context-Free Graph Grammars
  • Induction of the Effects of Actions by Monotonic Methods
  • Hybrid Abductive Inductive Learning: A Generalisation of Progol
  • Query Optimization in Inductive Logic Programming by Reordering Literals
  • Efficient Learning of Unlabeled Term Trees with Contractible Variables from Positive Data
  • Relational IBL in Music with a New Structural Similarity Measure
  • An Effective Grammar-Based Compression Algorithm for Tree Structured Data.