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53 631 (0,146s)

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Induction of Fuzzy and Annotated Logic Programs

We discuss induction of fuzy logic programs and annotated logic programs.

IN - Informatika

  • 2006
  • D
Result

On Generating Templates for Hypothesis in Inductive Logic Programming

The paper describes a novel technique for generating templates for learning in Inductive Logic Programming.

IN - Informatika

  • 2011
  • D
  • Link
Result

Inductive Logic Programming

The chapter is an introductory overview of inductive logic programming.

JC - Počítačový hardware a software

  • 2012
  • C
  • Link
Result

Using Constraint Satisfaction for Learning Hypotheses in Inductive Logic Programming

The paper describes the core techniques for solving problem of inductive logic programming using constraint satisfaction.

IN - Informatika

  • 2010
  • D
Result

Boosting Inductive Logic Programming via Decomposition, Merging, and Refinement

The papers describes a technique for improving efficiency of generating templates for inductive logic programming via decomposition of examples and merging and refinement of hypothesis....

IN - Informatika

  • 2011
  • D
  • Link
Result

Taming the Complexity of Inductive Logic Programming (invited talk)

We review our recent research aimed at conquering two sources of complexity of inductive logic programming: the clause subsumption problem and the clause search problem....

JC - Počítačový hardware a software

  • 2010
  • D
Result

18th International Conference on Inductive Logic Programming

Inductive Logic Programming (ILP) is a subfield of machine learning which uses logic programming as a uniform representation technique. Due to this ILP provides excellent means for multi-relational learnin...

IN - Informatika

  • 2008
  • M
Result

Grammatical Concept Representation for Randomised Optimisation Algorithms in Relational Learning

The article introduces new algorithm that uses Grammatical Evolution in Inductive Logic Programming.

JC - Počítačový hardware a software

  • 2009
  • D
Result

Constraint Satisfaction for Learning Hypotheses in Inductive Logic Programming

Inductive logic programming is a sub?eld of machine learning which uses ?rst-order logic as a uniform representation of examples, background knowledge, and hypotheses. In many works, it is assumed that examples are...

IN - Informatika

  • 2012
  • C
  • Link
Result

Guest editors introduction: special issue on Inductive Logic Programming (ILP 2012)

This is the editorial of the ILP 2012 (conference on Inductive Logic Programming) special issue of the Machine Learning journal....

JC - Počítačový hardware a software

  • 2014
  • O
  • Link
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