118 search results - page 14 / 24 » On Approximating the Number of Relevant Variables in a Funct... |
APPROX
2005
Springer
15 years 3 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...
86
Voted
AAAI
2004
14 years 11 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 9 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...
100
click to vote
VLSID
2006
IEEE
15 years 10 months 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 ...
CVPR
2005
IEEE
15 years 11 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...