Learning to Classify Text Using Support Vector Machines

Name: Learning to Classify Text Using Support Vector Machines
Brand: Springer
SKU: 9780792376798
Price: 423.12 PLN
Availability: InStock

Methods, Theory and Algorithms

Autor: Thorsten Joachims

Język:

Oprawa: Twarda

Wydawca: Springer

Dostępność: Dostępna u dostawcy

Wysyłamy za 10-13 dni

423.12 zł

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

Informacje o książce

Autor

Thorsten Joachims

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2002

strony

205

EAN

9780792376798

ISBN

079237679X

Enbook ID

01397195

Wydawca

Springer

Waga

1100

Wymiary

155 x 235 x 17

Pełny opis

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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Learning to Classify Text Using Support Vector Machines

Methods, Theory and Algorithms

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