Introduction to the special issue on grammatical inference

Jeffrey Heinz; C. De La Higuera; Tim Oates

doi:10.1007/s10994-013-5428-6

Introduction to the special issue on grammatical inference

Jeffrey Heinz
, C. De La Higuera
, Tim Oates

Linguistics

Nantes Université
University of Maryland, Baltimore County

Research output: Contribution to journal › Review article › peer-review

Abstract

As a field, Grammatical Inference addresses both theoretical and empirical learning problems, and the collection of papers within this special issue attests both to the diversity of these problems as well as the advances and insights that are being made by the researchers working within it. Thus we hope this special issue is of interest to the readership of Machine Learning.

Original language	English
Pages (from-to)	1-3
Number of pages	3
Journal	Machine Learning
Volume	96
Issue number	1-2
DOIs	https://doi.org/10.1007/s10994-013-5428-6
State	Published - Jul 2014

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abstract = "As a field, Grammatical Inference addresses both theoretical and empirical learning problems, and the collection of papers within this special issue attests both to the diversity of these problems as well as the advances and insights that are being made by the researchers working within it. Thus we hope this special issue is of interest to the readership of Machine Learning.",

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AB - As a field, Grammatical Inference addresses both theoretical and empirical learning problems, and the collection of papers within this special issue attests both to the diversity of these problems as well as the advances and insights that are being made by the researchers working within it. Thus we hope this special issue is of interest to the readership of Machine Learning.

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DO - 10.1007/s10994-013-5428-6

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JO - Machine Learning

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Introduction to the special issue on grammatical inference

Abstract

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