Learning to Classify Text Using Support Vector Machines

Name: Learning to Classify Text Using Support Vector Machines
Brand: Springer, Berlin
SKU: 9781461352983
Price: 105.43 EUR
Availability: InStock

Автор: Thorsten Joachims

Език:

Корици: С меки корици

Издател: Springer, Berlin

Наличност: Външен склад

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Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector M...

Информация за книгата

Автор

Thorsten Joachims

Език

Английски език

Корици

Книга - С меки корици

Издадена

2013

страници

205

EAN

9781461352983

ISBN

1461352983

Enbook ID

06796280

Издател

Springer, Berlin

Теглоt

355

Размери

155 x 235 x 12

Пълно описание

Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifiers from examples. The approach combines high performance and efficiency with theoretical understanding and improved robustness. In particular, it is highly effective without greedy heuristic components. The SVM approach is computationally efficient in training and classification, and it comes with a learning theory that can guide real-world applications.§Learning To Classify Text Using Support Vector Machines gives a complete and detailed description of the SVM approach to learning text classifiers, including training algorithms, transductive text classification, efficient performance estimation, and a statistical learning model of text classification. In addition, it includes an overview of the field of text classification, making it self-contained even for newcomers to the field. This book gives a concise introduction to SVMs for pattern recognition, and it includes a detailed description of how to formulate text-classification tasks for machine learning.§

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Информация за книгата

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