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Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media
Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifie
Language: en
Pages: 267
Pages: 267
Type: BOOK - Published: 2007-12-27 - Publisher: Springer
Support vector machines (SVMs) are one of the most active research areas in machine learning. SVMs have shown good performance in a number of applications, incl
Language: en
Pages: 222
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Type: BOOK - Published: 2013-06-07 - Publisher: John Wiley & Sons
The first book of its kind to review the current status and future direction of the exciting new branch of machine learning/data mining called imbalanced learni
Language: en
Pages: 332
Pages: 332
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media
This book provides a unified approach for developing a fuzzy classifier and explains the advantages and disadvantages of different classifiers through extensive
Language: en
Pages: 455
Pages: 455
Type: BOOK - Published: 2020-06-17 - Publisher: O'Reilly Media
Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and sc