Inductive Logic Programming 归纳逻辑编程
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ISBN：9783540425380
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简介
The LNAI series reports state-of-the-art results in artificial intelligence re-search， development， and education， at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community， with numerous individuals， as well as with prestigious organizations and societies，LNAI has grown into the most comprehensive artificial intelligence research forum available. The scope of LNAI spans the whole range of artificial intelligence and intelli-gent information processing including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes. —proceedings （published in time for the respective conference） —post-proceedings （consisting of thoroughly revised final full papers） —research monographs（which may be based on PhD work）
目录
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
o-Subsumption in a Constraint Satisfaction Perspective
Learning to Parse from a Treebank: Combining TBL and ILP
Induction of Stable Models
Application of Pruning Techniquex 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
Author Index
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
o-Subsumption in a Constraint Satisfaction Perspective
Learning to Parse from a Treebank: Combining TBL and ILP
Induction of Stable Models
Application of Pruning Techniquex 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
Author Index
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