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25 Remote Warehouse Mathematics- Applied

This title in other editions

Studies in Computational Intelligence #255: Inductive Inference for Large Scale Text Classification: Kernel Approaches and Techniques

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Synopses & Reviews

Publisher Comments:

Text classification is becoming a crucial task to analysts in different areas. In the last few decades, the production of textual documents in digital form has increased exponentially. Their applications range from web pages to scientific documents, including emails, news and books. Despite the widespread use of digital texts, handling them is inherently difficult - the large amount of data necessary to represent them and the subjectivity of classification complicate matters. This book gives a concise view on how to use kernel approaches for inductive inference in large scale text classification; it presents a series of new techniques to enhance, scale and distribute text classification tasks. It is not intended to be a comprehensive survey of the state-of-the-art of the whole field of text classification. Its purpose is less ambitious and more practical: to explain and illustrate some of the important methods used in this field, in particular kernel approaches and techniques.

Synopsis:

This book explains and illustrates key methods in inductive inference in large scale text classification, especially kernel approaches. It covers a series of new techniques to enhance, scale and distribute text classification tasks.

Product Details

ISBN:
9783642261343
Author:
Silva, Catarina
Publisher:
Springer
Author:
Ribeiro, Bernadete
Subject:
Mathematics-Applied
Subject:
Applied
Subject:
Computational intelligence
Subject:
Kernel Approach
Subject:
text classification
Subject:
Appl.Mathematics/Computational Methods of Engineering
Subject:
Document Preparation and Text Processing
Subject:
Computational linguistics
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Appl.Mathematics/Computational Methods of
Subject:
Engineering
Copyright:
Edition Description:
2010
Series:
Studies in Computational Intelligence
Series Volume:
255
Publication Date:
20131231
Binding:
TRADE PAPER
Language:
English
Pages:
176
Dimensions:
235 x 155 mm 275 gr

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Health and Self-Help » Health and Medicine » Medical Specialties
History and Social Science » Linguistics » General
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Physics » General

Studies in Computational Intelligence #255: Inductive Inference for Large Scale Text Classification: Kernel Approaches and Techniques New Trade Paper
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Product details 176 pages Springer - English 9783642261343 Reviews:
"Synopsis" by , This book explains and illustrates key methods in inductive inference in large scale text classification, especially kernel approaches. It covers a series of new techniques to enhance, scale and distribute text classification tasks.
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