291 search results - page 12 / 59 » General Convergence Results for Linear Discriminant Updates |
NIPS
1998
13 years 8 months ago
1998
The W-S (Wake-Sleep) algorithm is a simple learning rule for the models with hidden variables. It is shown that this algorithm can be applied to a factor analysis model which is a...
IPPS
2007
IEEE
14 years 1 months ago
2007
IEEE
The problem of counting specified combinations of a given set of variables arises in many statistical and data mining applications. To solve this problem, we introduce the PDtree...
PRESENCE
2007
13 years 7 months ago
2007
This study investigates the effect of update rate on the quality of haptic virtual textures, with the goal to develop a guideline for choosing an optimal update rate for haptic te...
SIAMJO
2010
13 years 2 months ago
2010
Abstract. We propose a randomized method for general convex optimization problems; namely, the minimization of a linear function over a convex body. The idea is to generate N rando...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
In Reinforcement Learning (RL) there has been some experimental evidence that the residual gradient algorithm converges slower than the TD(0) algorithm. In this paper, we use the ...