382 search results - page 12 / 77 » Gradient estimation in global optimization algorithms |
CSB
2003
IEEE
14 years 1 months ago
2003
IEEE
Physical map reconstruction in the presence of errors is a central problem in genetics of high computational complexity. A parallel genetic algorithm for a maximum likelihood esti...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
— Optimal component analysis (OCA) uses a stochastic gradient optimization process to find optimal representations for general criteria and shows good performance in object reco...
PAMI
2007
13 years 7 months ago
2007
—This paper presents a novel approach for estimating the parameters for MRF-based stereo algorithms. This approach is based on a new formulation of stereo as a maximum a posterio...
HIS
2001
13 years 9 months ago
2001
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
AUTOMATICA
2007
13 years 7 months ago
2007
The sensor scheduling problem can be formulated as a controlled hidden Markov model and this paper solves the problem when the state, observation and action spaces are continuous....