876 search results - page 109 / 176 » A theory of learning with similarity functions |
KDD
2006
ACM
16 years 2 months ago
2006
ACM
We study the mining of interesting patterns in the presence of numerical attributes. Instead of the usual discretization methods, we propose the use of rank based measures to scor...
146
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JMLR
2010
14 years 8 months ago
2010
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
133
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IJCAI
2007
15 years 3 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...
127
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CAGD
2005
15 years 1 months ago
2005
Given an m-dimensional surface in Rn , we characterize parametric curves in , which interpolate or approximate a sequence of given points pi and minimize a given energy functio...
114
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BMCBI
2007
15 years 1 months ago
2007
Background: Many algorithms exist for protein structural alignment, based on internal protein coordinates or on explicit superposition of the structures. These methods are usually...