"Inductive Logic Programming" - Information and Links:

Inductive Logic Programming - Info and Reading Options

22nd International Conference, ILP 2012, Dubrovnik, Croatia, September 17-19, 2012, Revised Selected Papers

Book's cover
The cover of “Inductive Logic Programming” - Open Library.

"Inductive Logic Programming" was published by Springer Berlin Heidelberg in 2013 - Berlin, Heidelberg, it has 273 pages and the language of the book is English.


“Inductive Logic Programming” Metadata:

  • Title: Inductive Logic Programming
  • Author:
  • Language: English
  • Number of Pages: 273
  • Publisher: Springer Berlin Heidelberg
  • Publish Date:
  • Publish Location: Berlin, Heidelberg

“Inductive Logic Programming” Subjects and Themes:

Edition Specifications:

  • Format: [electronic resource] :
  • Pagination: X, 273 p. 81 illus.

Edition Identifiers:

AI-generated Review of “Inductive Logic Programming”:


"Inductive Logic Programming" Table Of Contents:

  • 1- A Relational Approach to Tool-Use Learning in Robots
  • 2- A Refinement Operator for Inducing Threaded-Variable Clauses
  • 3- Propositionalisation of Continuous Attributes beyond Simple Aggregation
  • 4- Topic Models with Relational Features for Drug Design
  • 5- Pairwise Markov Logic
  • 6- Evaluating Inference Algorithms for the Prolog Factor Language
  • 7- Polynomial Time Pattern Matching Algorithm for Ordered Graph Patterns
  • 8- Fast Parameter Learning for Markov Logic Networks Using Bayes Nets
  • 9- Bounded Least General Generalization
  • 10- Itemset-Based Variable Construction in Multi-relational Supervised Learning
  • 11- A Declarative Modeling Language for Concept Learning in Description Logics
  • 12- Identifying Driver’s Cognitive Load Using Inductive Logic Programming
  • 13- Opening Doors: An Initial SRL Approach
  • 14- Probing the Space of Optimal Markov Logic Networks for Sequence Labeling
  • 15- What Kinds of Relational Features Are Useful for Statistical Learning?
  • 16- Learning Dishonesty
  • 17- ^
  • 18- Heuristic Inverse Subsumption in Full-Clausal Theories
  • 19- Learning Unordered Tree Contraction Patterns in Polynomial TimeA Relational Approach to Tool-Use Learning in Robots
  • 20- A Refinement Operator for Inducing Threaded-Variable Clauses
  • 21- Propositionalisation of Continuous Attributes beyond Simple Aggregation
  • 22- Topic Models with Relational Features for Drug Design
  • 23- Pairwise Markov Logic
  • 24- Evaluating Inference Algorithms for the Prolog Factor Language
  • 25- Polynomial Time Pattern Matching Algorithm for Ordered Graph Patterns
  • 26- Fast Parameter Learning for Markov Logic Networks Using Bayes Nets
  • 27- Bounded Least General Generalization
  • 28- Itemset-Based Variable Construction in Multi-relational Supervised Learning
  • 29- A Declarative Modeling Language for Concept Learning in Description Logics
  • 30- Identifying Driver’s Cognitive Load Using Inductive Logic Programming
  • 31- Opening Doors: An Initial SRL Approach
  • 32- Probing the Space of Optimal Markov Logic Networks for Sequence Labeling
  • 33- ^
  • 34- ^^
  • 35- What Kinds of Relational Features Are Useful for Statistical Learning?.-Learning Dishonesty.-Heuristic Inverse Subsumption in Full-Clausal Theories.-Learning Unordered Tree Contraction Patterns in Polynomial Time.
  • 36- ^^

"Inductive Logic Programming" Description:

The Open Library:

This book constitutes the thoroughly refereed post-proceedings of the 22nd International Conference on Inductive Logic Programming, ILP 2012, held in Dubrovnik, Croatia, in September 2012. The 18 revised full papers were carefully reviewed and selected from 41 submissions. The papers cover the following topics: propositionalization, logical foundations, implementations, probabilistic ILP, applications in robotics and biology, grammatical inference, spatial learning and graph-based learning.

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