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Inductive Logic Programming

Overview of attention for book
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?
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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