Topics in Grammatical Inference

This book explains advanced theoretical and application-related issues in grammatical inference, a research area inside the inductive inference paradigm for machine learning. The first three chapters of the book deal with issues regarding theoretical learning frameworks; the next four chapters focus...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Heinz, Jeffrey (Editor), Sempere, José M. (Editor)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016.
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Introduction
  • Gold-Style Learning Theory
  • Efficiency in the Identification in the Limit Learning Paradigm
  • Learning Grammars and Automata with Queries
  • On the Inference of Finite State Automata from Positive and Negative Data
  • Learning Probability Distributions Generated by Finite-State Machines
  • Distributional Learning of Context-Free and Multiple
  • Context-Free Grammars
  • Learning Tree Languages
  • Learning the Language of Biological Sequences.