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Learning to Classify Text Using Support Vector Machines
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Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifie
Rule Extraction from Support Vector Machines
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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
Imbalanced Learning
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Type: BOOK - Published: 2013-06-07 - Publisher: John Wiley & Sons

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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
Pattern Classification
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Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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This book provides a unified approach for developing a fuzzy classifier and explains the advantages and disadvantages of different classifiers through extensive
Practical Natural Language Processing
Language: en
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Authors: Sowmya Vajjala
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Type: BOOK - Published: 2020-06-17 - Publisher: O'Reilly Media

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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