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Inductive Logic Programming

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Cover of 'Inductive Logic Programming'

Table of Contents

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    Book Overview
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    Chapter 1 Rule Interchange Format: Logic Programming’s Second Wind?
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    Chapter 2 Practical Probabilistic Programming
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    Chapter 3 Probabilistic Relational Learning and Inductive Logic Programming at a Global Scale
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    Chapter 4 Learning Multi-class Theories in ILP
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    Chapter 5 A Numerical Refinement Operator Based on Multi-Instance Learning
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    Chapter 6 Not Far Away from Home: A Relational Distance-Based Approach to Understanding Images of Houses
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    Chapter 7 Approximate Inference for Logic Programs with Annotated Disjunctions
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    Chapter 8 Approximate Bayesian Computation for the Parameters of PRISM Programs
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    Chapter 9 Probabilistic Rule Learning
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    Chapter 10 Interactive Discriminative Mining of Chemical Fragments
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    Chapter 11 MMRF for Proteome Annotation Applied to Human Protein Disease Prediction
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    Chapter 12 Extending ProbLog with Continuous Distributions
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    Chapter 13 Multivariate Prediction for Learning on the Semantic Web
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    Chapter 14 Learning Action Descriptions of Opponent Behaviour in the Robocup 2D Simulation Environment
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    Chapter 15 Hypothesizing about Causal Networks with Positive and Negative Effects by Meta-level Abduction
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    Chapter 16 BET : An Inductive Logic Programming Workbench
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    Chapter 17 Seeing the World through Homomorphism: An Experimental Study on Reducibility of Examples
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    Chapter 18 Learning Discriminant Rules as a Minimal Saturation Search
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    Chapter 19 Variation of Background Knowledge in an Industrial Application of ILP
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    Chapter 20 Pruning Search Space for Weighted First Order Horn Clause Satisfiability
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    Chapter 21 Multi-relational Pattern Mining Based-on Combination of Properties with Preserving Their Structure in Examples
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    Chapter 22 Learning from Noisy Data Using a Non-covering ILP Algorithm
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    Chapter 23 Can HOLL Outperform FOLL?
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    Chapter 24 Incremental Learning of Relational Action Models in Noisy Environments
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    Chapter 25 When Does It Pay Off to Use Sophisticated Entailment Engines in ILP?
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    Chapter 26 Stochastic Refinement
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    Chapter 27 Fire! Firing Inductive Rules from Economic Geography for Fire Risk Detection
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    Chapter 28 Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background Knowledge
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    Chapter 29 Speeding Up Planning through Minimal Generalizations of Partially Ordered Plans
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Title
Inductive Logic Programming
Published by
Springer Berlin Heidelberg, May 2011
DOI 10.1007/978-3-642-21295-6
ISBNs
978-3-64-221294-9, 978-3-64-221295-6
Editors

Frasconi, Paolo, Lisi, Francesca A.

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