118 search results - page 14 / 24 » On Approximating the Number of Relevant Variables in a Funct... |
APPROX
2005
Springer
15 years 5 months ago
2005
Springer
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
AAAI
2004
15 years 1 months ago
2004
Recent algorithms provide powerful solutions to the problem of determining cost-minimizing (or revenue-maximizing) allocations of items in combinatorial auctions. However, in many...
JMLR
2008
14 years 11 months ago
2008
Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
120
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VLSID
2006
IEEE
16 years 5 days ago
2006
IEEE
With device size shrinking and fast rising frequency ranges, effect of cosmic radiations and alpha particles known as Single-Event-Upset (SEU), Single-Eventtransients (SET), is a ...
106
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CVPR
2005
IEEE
16 years 1 months ago
2005
IEEE
We present a method for training a similarity metric from data. The method can be used for recognition or verification applications where the number of categories is very large an...