Inductive logic programming

Autori

• Tamás Horváth

Parametri

• Computer, IT, programmazione
• Lecture notes in computer science

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InhaltsverzeichnisInvited 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.

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Lingua: Inglese

Pubblicato: 2003

(In brossura)