Learning to Classify Text Using Support Vector Machines (The Springer International Series in Engineering and Computer Science, 668)
Joachims, Thorsten
ISBN 10: 079237679X ISBN 13: 9780792376798
Published by Springer, 2002
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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 applications.
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Title: Learning to Classify Text Using Support ...
Publisher: Springer
Publication Date: 2002
Binding: Hardcover
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Learning to Classify Text Using Support Vector Machines (The Springer International Series in Engineering and Computer Science, 668)
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Learning to Classify Text Using Support Vector Machines: Methods, Theory, and Algorithms
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Learning to Classify Text Using Support Vector Machines. Methods, Theory and Algorithms
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Learning to Classify Text Using Support Vector Machines : Methods, Theory and Algorithms
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Learning to Classify Text Using Support Vector Machines (The Springer International Series in Engineering and Computer Science)
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Learning to Classify Text Using Support Vector Machines (The Springer International Series in Engineering and Computer Science, 668)
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