Mixtures of Kernels for SVM Modeling

• Published in: Advances in Natural Computation pp. 601 - 607
• Main Authors: Zhu, Yan-fei, Tian, Lian-fang, Mao, Zong-yuan, LI, Wei
• Format: Book Chapter Conference Proceeding
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2005; Springer
• Series: Lecture Notes in Computer Science
• Subjects: Applied sciences; Artificial intelligence; Computer science; control theory; systems; Exact sciences and technology; Polynomial Kernel; Radial Basis Function; Radial Basis Function Kernel; Support Vector Machine; Support Vector Machine Modeling; Radial basis function; Statistical analysis; Non linear model; Vector support machine; Modeling; Linear space; Kernel method

Kernels are employed in Support Vector Machines (SVM) to map the nonlinear model into a higher dimensional feature space where the linear learning is adopted. The characteristic of kernels has a great impact on learning and predictive results of SVM. Good characteristic for fitting may not represent...