403 search results - page 18 / 81 » Metric and Kernel Learning Using a Linear Transformation |
128
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AIIA
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. In this paper a novel framework for brain classification is proposed in the context of mental health research. A learning by example method is introduced by combining loc...
171
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NIPS
2004
15 years 5 months ago
2004
The problem of learning a sparse conic combination of kernel functions or kernel matrices for classification or regression can be achieved via the regularization by a block 1-norm...
137
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CVPR
2006
IEEE
16 years 5 months ago
2006
IEEE
A fast algorithm, Accelerated Kernel Feature Analysis (AKFA), that discovers salient features evidenced in a sample of n unclassified patterns, is presented. Like earlier kernel-b...
172
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IJCNN
2007
IEEE
15 years 10 months ago
2007
IEEE
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
128
Voted
EWCBR
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. Good similarity functions are at the heart of effective case-based reasoning. However, the similarity functions that have been designed so far have been mostly linear, we...