Learning with kernels : support vector machines, regularization, optimization, and beyond /
In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs -- -kernels--for a number of learning tasks....
Cambridge, Mass. :
|Series:||Adaptive computation and machine learning.
|Online Access:||Available via EBSCO eBook Collection|
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