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PAMI
2008
13 years 8 months ago
2008
In this paper, we develop a new effective multiple kernel learning algorithm. First, we map the input data into m different feature spaces by m empirical kernels, where each genera...
JMLR
2006
13 years 8 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
COMPSAC
2003
IEEE
14 years 2 months ago
2003
IEEE
In this paper, we propose an algorithm to construct the Ordered Binary Decision Diagram (OBDD) representing the cut function of a terminal-pair network. The algorithm recognizes i...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
CEC
2008
IEEE
14 years 3 months ago
2008
IEEE
— Since the Estimation of Distribution Algorithms (EDAs) have been introduced, several single model based EDAs and mixture model based EDAs have been developed. Take Gaussian mod...