Kernel Methods for Pattern Analysis

Pattern analysis is the process of finding general relations in a set of data, and forms the core of many disciplines, from neural networks to so-called syntactical pattern recognition, from machine learning to data mining. Applications of pattern analysis range from bioinformatics to document retrieval. The kernel methodology described here provides a powerful and unified framework for all of these disciplines, motivating algorithms that can act on general types of data (e.g. strings, vectors, text etc.) and look for general types of relations (e.g. rankings, classifications, regressions clusters etc.)