272 search results - page 42 / 55 » Parallel Reinforcement Learning with Linear Function Approxi... |
MLG
2007
Springer
14 years 2 months ago
2007
Springer
As a fundamental problem in pattern recognition, graph matching has found a variety of applications in the field of computer vision. In graph matching, patterns are modeled as gr...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Adaptive sparse coding methods learn a possibly overcomplete set of basis functions, such that natural image patches can be reconstructed by linearly combining a small subset of t...
ICANN
2003
Springer
14 years 2 months ago
2003
Springer
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...