2569 search results - page 115 / 514 » Approximate Objects and Approximate Theories |
181
click to vote
ICONIP
2007
15 years 7 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
166
click to vote
NIPS
2004
15 years 7 months ago
2004
This paper proposes a method for computing fast approximations to support vector decision functions in the field of object detection. In the present approach we are building on an...
158
click to vote
MOR
2006
15 years 6 months ago
2006
In multicriteria optimization, several objective functions, conflicting with each other, have to be minimized simultaneously. We propose a new efficient method for approximating t...
200
click to vote
ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
The paper addresses the convergence of a decentralized Robbins-Monro algorithm for networks of agents. This algorithm combines local stochastic approximation steps for finding th...
197
click to vote
JUCS
2010
15 years 4 months ago
2010
: Classical classification and clustering based on equivalence relations are very important tools in decision-making. An equivalence relation is usually determined by properties of...