394 search results - page 30 / 79 » A framework for evolutionary optimization with approximate f... |
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
Many problems in computer vision can be modeled using
conditional Markov random fields (CRF). Since finding
the maximum a posteriori (MAP) solution in such models
is NP-hard, mu...
IPMI
2007
Springer
14 years 9 months ago
2007
Springer
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
NIPS
2004
13 years 10 months ago
2004
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
GECCO
2006
Springer
14 years 19 days ago
2006
Springer
Evolutionary algorithms have successfully been applied to software testing. Not only approaches that search for numeric test data for procedural test objects have been investigate...
INFOCOM
2010
IEEE
13 years 7 months ago
2010
IEEE
—Many important network design problems can be formulated as a combinatorial optimization problem. A large number of such problems, however, cannot readily be tackled by distribu...