[PDF.04dz] Semisupervised Learning for Computational Linguistics (Chapman & Hall/CRC Computer Science & Data Analysis)

Semisupervised Learning for Computational Linguistics (Chapman & Hall/CRC Computer Science & Data Analysis)

[PDF.co81] Semisupervised Learning for Computational Linguistics (Chapman & Hall/CRC Computer Science & Data Analysis)

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 | #3374870 in Books |  2007-09-17 | Original language:English | PDF # 1 |  9.50 x6.50 x1.00l,1.32 | File type: PDF | 320 pages

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||2 of 2 people found the following review helpful.| Not only for NLP domain|By Vladislavs Dovgalecs|The book is about introduction to semi-supervised methods from machine learning applied on text processing. Author did a great job introducing the topics of machine learning and goes chapter by chapter to the goal - the need and motivation for semi-supervised learning.

A nice thing is that much of mathematical rigor is|About the Author|University of Michigan, Ann Arbor, USA

The rapid advancement in the theoretical understanding of statistical and machine learning methods for semisupervised learning has made it difficult for nonspecialists to keep up to date in the field. Providing a broad, accessible treatment of the theory as well as linguistic applications, Semisupervised Learning for Computational Linguistics offers self-contained coverage of semisupervised methods that includes background material on supervised and unsupervised learning...

You can specify the type of files you want, for your device.Semisupervised Learning for Computational Linguistics (Chapman & Hall/CRC Computer Science & Data Analysis)   |  Steven Abney. A good, fresh read, highly recommended.

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