Inductive Logic Programming 归纳逻辑编程

书籍目录

Invited Papers  A Personal View of How Best to Apply ILP  Agents that Reason and LearnResearch 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 ALog  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 DataAuthor Index

作者简介

This book constitutes the refereed proceedings of the 13th International Conference on Inductive Logic Programming, ILP 2003, held in Szeged, Hungary in September/October 2003.　　The 23 revised full papers presented were carefully reviewed and selected from 53 submissions. Among the topics addressed are multirelational data mining, complexity issues, theory revision, clustering, mathematical discovery, relational reinforcement learning, multirelational learning, inductive inference, description logics, grammar systems, and inductive learning.

 Inductive Logic Programming 归纳逻辑编程下载