264 search results - page 6 / 53 » Learning Linearly Separable Languages |
ICCV
2003
IEEE
14 years 10 months ago
2003
IEEE
In this paper we show that efficient object recognition can be obtained by combining informative features with linear classification. The results demonstrate the superiority of in...
AAMAS
2007
Springer
13 years 8 months ago
2007
Springer
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
SDM
2008
SIAM
13 years 10 months ago
2008
SIAM
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
This paper addresses source separation from a linear mixture under two assumptions: source sparsity and orthogonality of the mixing matrix. We propose efficient sparse separation...
PKDD
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. We present a novel approach for classification using a discretised function representation which is independent of the data locations. We construct the classifier as a su...