This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and
Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support vector mac
This book focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are closely related to regularization ne
This book provides a unified approach for developing a fuzzy classifier and explains the advantages and disadvantages of different classifiers through extensive
The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: