373 search results - page 71 / 75 » An ACO Algorithm for the Most Probable Explanation Problem |
EVOW
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Adaptive orthogonal frequency division multiple access (OFDMA) has recently been recognized as a promising technique for providing high spectral efficiency in future broadband wire...
CORR
2006
Springer
13 years 8 months ago
2006
Springer
The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
Abstract. Natural scenes consist of a wide variety of stochastic patterns. While many patterns are represented well by statistical models in two dimensional regions as most image s...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...