Support Vector Machines (Information Science and Statistics)
This book explains the principles that make support vector machines (SVMs) a successful modelling and prediction tool for a variety of applications. Get and download textbook Support Vector Machines (Information Science and Statistics) for free
Categories: Kernel functions, Support vector machines. Contributors: Bernhard Scholkopf - Author. Format: Hardcover
The authors present the basic ideas of SVMs together with the latest developments and current research questions in a unified style. They identify three reasons for the success of SVMs: their ability to learn well with only a very small number of free parameters, their robustness against several types of model violations and outliers, and their computational efficiency compared to several other methods. The book provides a unique in-depth treatment of both fundamental and recent material on SVMs that so far has been scattered in the literature. The book can thus serve as both a basis for graduate Support Vector Machines new edition
Download free books for Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Categories: Kernel functions, Support vector machines. Contributors: Bernhard Scholkopf - Author. Format: Hardcover
Categories: Text processing (Computer science), Support vector machines. Contributors: Thorsten Joachims - Author. Format: Paperback
Categories: Data mining, Pattern recognition systems, Support vector machines. Contributors: Lipo Wang - Author. Format: Hardcover
Categories: Text processing (Computer science), Support vector machines. Contributors: Thorsten Joachims - Author. Format: Hardcover
Support Vector Machines Textbook
The book can thus serve as both a basis for graduate
