Title: Learning to Classify Text Using Support Vector Machines (The Springer International Series in Engineering and Computer Science, 668)
Publisher: Springer
Publication Date: 2002
Language: English
ISBN 10: 079237679X
ISBN 13: 9780792376798
Binding: Hardcover
Condition: New

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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 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...

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