9781852339296
Support Vector Machines For Pattern Classification (Advances In Pattern Recognition) - Shigeo Abe
Springer (2005)
In Collection
#796

Read It:
Yes

Support Vector Machines for Pattern Classification provides a comprehensive resource for the use of SVM?s in pattern classification. The subject area is particularly timely with research on kernel methods increasing rapidly; this book is unique in its focus on classification methods. The characteristic SVM?s are discussed: L1-SVMs and L2-SVMs, lease squares SVMs and linear programming SVMs from both a theoretical and an experimental viewpoint.

SVMs were originally formulated for two-class problems, and an extension to multiclass systems (which are essential for practical use) is not unique. However, in its discussion of several multiclass SVM architectures and the comparison of their performance using real world data, this book provides a unique perspective that researchers and students will find invaluable.

Product Details
LoC Classification QA76.9.T48A23 2005
Dewey 005.52
Format Hardcover
Cover Price 109,00 €
No. of Pages 343
Height x Width 236 x 160 mm
Personal Details
Links Amazon