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Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vector

Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard

A detailed overview of current research in kernel methods and their application to computational biology.

This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout the book. A solution