1897 search results - page 8 / 380 » Sparse Additive Machine |
91
Voted
COLT
2001
Springer
15 years 5 months ago
2001
Springer
Abstract. We develop three new techniques to build on the recent advances in online learning with kernels. First, we show that an exponential speed-up in prediction time per trial ...
154
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ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
A key problem in using the output of an auditory model as the input to a machine-learning system in a machine-hearing application is to find a good feature-extraction layer. For ...
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
105
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IDEAL
2004
Springer
15 years 5 months ago
2004
Springer
Abstract— The paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model gener...
84
Voted
ICALP
2010
Springer
15 years 5 months ago
2010
Springer
We consider the problem of efficiently finding an additive C-spanner of an undirected unweighted graph G, that is, a subgraph H so that for all pairs of vertices u, v, δH (u, v) ...