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154
Voted
IJCAI
2007
15 years 5 months ago
2007
We propose a novel variant of the conjugate gradient algorithm, Kernel Conjugate Gradient (KCG), designed to speed up learning for kernel machines with differentiable loss functio...
147
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
131
Voted
ECML
2004
Springer
15 years 9 months ago
2004
Springer
Support Vector Machines (SVM) have been extensively studied and have shown remarkable success in many applications. However the success of SVM is very limited when it is applied to...
109
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ALT
2008
Springer
16 years 16 days ago
2008
Springer
Abstract. We give a lower bound for the error of any unitarily invariant algorithm learning half-spaces against the uniform or related distributions on the unit sphere. The bound i...
102
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ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
We show how nonlinear embedding algorithms popular for use with shallow semisupervised learning techniques such as kernel methods can be applied to deep multilayer architectures, ...