Support Vector Machines for Pattern Classification.pdf
Since the introduction of support vector machines, we have witnessed the
huge development in theory, models, and applications of what is so-called
kernel-based methods: advancement in generalization theory, kernel classifiers
and regressors and their variants, various feature selection and extraction
methods, and wide variety of applications such as pattern classification and
regressions in biology, medicine, chemistry, as well as computer science.