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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 Knowledge-Directed Theory Revision
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    Chapter 2 Towards Clausal Discovery for Stream Mining
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    Chapter 3 On the Relationship between Logical Bayesian Networks and Probabilistic Logic Programming Based on the Distribution Semantics
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    Chapter 4 Induction of Relational Algebra Expressions
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    Chapter 5 A Logic-Based Approach to Relation Extraction from Texts
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    Chapter 6 Discovering Rules by Meta-level Abduction
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    Chapter 7 Inductive Generalization of Analytically Learned Goal Hierarchies
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    Chapter 8 Ideal Downward Refinement in the $\mathcal{EL}$ Description Logic
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    Chapter 9 Nonmonotonic Onto-Relational Learning
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    Chapter 10 CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods
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    Chapter 11 Speeding Up Inference in Statistical Relational Learning by Clustering Similar Query Literals
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    Chapter 12 Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples
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    Chapter 13 ProGolem: A System Based on Relative Minimal Generalisation
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    Chapter 14 An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge.
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    Chapter 15 Boosting First-Order Clauses for Large, Skewed Data Sets
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    Chapter 16 Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages
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    Chapter 17 Transfer Learning via Relational Templates
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    Chapter 18 Inductive Logic Programming
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    Chapter 19 Finding Relational Associations in HIV Resistance Mutation Data
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    Chapter 20 ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries
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    Chapter 21 Parameter Screening and Optimisation for ILP Using Designed Experiments
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    Chapter 22 Don’t Fear Optimality: Sampling for Probabilistic-Logic Sequence Models
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    Chapter 23 Policy Transfer via Markov Logic Networks
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    Chapter 24 Can ILP Be Applied to Large Datasets?
Attention for Chapter 19: Finding Relational Associations in HIV Resistance Mutation Data
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Chapter title
Finding Relational Associations in HIV Resistance Mutation Data
Chapter number 19
Book title
Inductive Logic Programming
Published in
ADS, July 2009
DOI 10.1007/978-3-642-13840-9_19
Book ISBNs
978-3-64-213839-3, 978-3-64-213840-9
Authors

Lothar Richter, Regina Augustin, Stefan Kramer, Richter, Lothar, Augustin, Regina, Kramer, Stefan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 10%
Italy 1 10%
Belgium 1 10%
Canada 1 10%
Unknown 6 60%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Ph. D. Student 2 20%
Professor > Associate Professor 2 20%
Other 2 20%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 7 70%
Chemistry 1 10%
Medicine and Dentistry 1 10%
Unknown 1 10%