A guide on the use of SVMs in pattern classification, including a rigorous performance comparison of classifiers and regressors. Covers sparse SVMs, learning using privileged information, semi-supervised learning, multiple classifier systems, and multiple kernel learning;
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A guide on the use of SVMs in pattern classification, including a rigorous performance comparison of classifiers and regressors. Covers sparse SVMs, learning using privileged information, semi-supervised learning, multiple classifier systems, and multiple kernel learning;
Read Less
Add this copy of Support Vector Machines for Pattern Classification to cart. $168.69, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2012 by Springer London Ltd.
Edition:
Softcover reprint of hardcover 2nd edition 2010
Publisher:
Springer London Ltd
Published:
2012
Language:
English
Alibris ID:
11546400224
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Seller's Description:
New. Print on demand Contains: Illustrations, black & white. Advances in Computer Vision and Pattern Recognition . XX, 473 p. 114 illus. Intended for professional and scholarly audience.
Add this copy of Support Vector Machines for Pattern Classification to cart. $168.69, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2010 by Springer.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Print on demand Sewn binding. Cloth over boards. 473 p. Contains: Unspecified, Illustrations, black & white, Tables, black & white. Advances in Computer Vision and Pattern Recognition.
