This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. Students will find the book both stimulating and accessible, while practitioners will be guided smoothly through the material required for a good grasp of the theory and its applications. The concepts are introduced gradually in accessible and self-contained stages, while the presentation is rigorous and thorough. Pointers to relevant literature and web sites containing software make it an ideal starting point for further...
This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistic...
A new generation of students needs to learn about the interplay between computer science and statistics but do not wish to learn a heavy mathematical overhead. Elements of Pattern Analysis provides the textbook they need: applications and key topics such as visualization, hypothesis testing, patterns in strings, data mining, random graphs are all given crisp treatments. Appendices summarise background topics in optimization, statistics and formal language theory. Computer scientists, electrical engineers and computational biologists will love this book.
A new generation of students needs to learn about the interplay between computer science and statistics but do not wish to learn a heavy mathematical...