Learning Kernel Classifiers by Ralf Herbrich (.PDF)
File Size: 2 MB
Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning) by Ralf Herbrich
Requirements: .PDF reader, 2 MB
Overview: An overview of the theory and application of kernel classification methods.Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier—a limited, but well-established and comprehensively studied model—and extends its applicability to a wide range of nonlinear pattern-recognition tasks such as natural language processing, machine vision, and biological sequence analysis.
Genre: Non-Fiction > Tech & Devices
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