2031 search results - page 139 / 407 » Approximation Algorithms for 2-Stage Stochastic Optimization... |
CSDA
2004
13 years 8 months ago
2004
Variable selection consists in identifying a k-subset of a set of original variables that is optimal for a given criterion of adequate approximation to the whole data set. Several...
AI
2002
Springer
13 years 8 months ago
2002
Springer
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
ICCV
2005
IEEE
14 years 1 months ago
2005
IEEE
We derive the clustering problem from first principles showing that the goal of achieving a probabilistic, or ”hard”, multi class clustering result is equivalent to the algeb...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
We have considered a problem of continuous piecewise linear approximation of the digital curves with a minimum number of the line segments. Fast suboptimal algorithm for constrain...
PAMI
2007
13 years 7 months ago
2007
A new framework is presented for both understanding and developing graph-cut based combinatorial algorithms suitable for the approximate optimization of a very wide class of MRFs ...