40 search results - page 2 / 8 » Random Descent |
EOR
2000
13 years 9 months ago
2000
Training in the random neural network (RNN) is generally speci
ICCV
2009
IEEE
15 years 2 months ago
2009
IEEE
Markov Random Field is now ubiquitous in many formulations
of various vision problems. Recently, optimization
of higher-order potentials became practical using higherorder
graph...
ACSW
2004
13 years 11 months ago
2004
This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification problems. In this approach, pixel statistics are used ...
CORR
2004
Springer
13 years 9 months ago
2004
Springer
We study a general online convex optimization problem. We have a convex set S and an unknown sequence of cost functions c1, c2, . . . , and in each period, we choose a feasible po...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...