Inductive Logic Programming 歸納邏輯編程/會(huì)議錄

內(nèi)容概要

This book constitutes the refereed proceedings of the 14th International Conference on Inductive Logic Programming, ILP 2004, held in Porto, Portugal, in September 2004.　　The 20 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers address all current topics in inductive logic programming, ranging from theoretical and methodological issues to advanced applications in various areas.

書籍目錄

Invited Papers  Automated Synthesis of Data Analysis Programs: Learning in Logic  At the Interface of Inductive Logic Programming and Statistics  From Promising to Profitable Applications of ILP:A Case Study in Drug Discovery  Systems Biology: A New Challenge for ILP  Scaling Up ILP:Experiences with Extracting Relations from Biomedical TextResearch Papers  Macro-Operators Revisited in Inductive Logic Programming  Bottom-Up ILP Using Large Refinement Steps  On the Effect of Caching in Recursive Theory Learning  FOIL-D: Efficiently Scaling FOIL for Multi-relational Data Mining of Large Datasets  Learning an Approximation to Inductive Logic Programming Clause Evaluation  Learning Ensembles of First-Order Clauses for Recall-Precision Curves: A Case Study in Biomedical Information Extraction  Automatic Induction of First-Order Logic Descriptors Type Domains from Observations  On Avoiding Redundancy in Inductive Logic Programming   Generalization Algorithms for Second-Order Terms  Circumscription Policies for Induction  Logical Markov Decision Programs and the Convergence of Logical TD(λ)  Learning Goal Hierarchies from Structured Observations and Expert Annotations  Efficient Evaluation of Candidate Hypotheses in AE-log  An Efficient Algorithm for Reducing Clauses Based on Constraint Satisfaction Techniques  Improving Rule Evaluation Using Multitask Learning  Learning Logic Programs with Annotated Disjunctions  A Simulated Annealing Framework for ILP  Modelling Inhibition in Metabolic Pathways Through Abduction and Induction  First Order Random Forests with Complex Aggregates　……AddendumAuthor Index

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