654 search results - page 50 / 131 » TRUST-TECH based Methods for Optimization and Learning |
115
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We propose a method for the classification of matrices. We use a linear classifier with a novel regularization scheme based on the spectral 1-norm of its coefficient matrix. The s...
ICCV
2005
IEEE
15 years 6 months ago
2005
IEEE
We present a new approach to learning image metrics. The main advantage of our method lies in a formulation that requires only a few pairwise examples. Apparently, based on the li...
88
Voted
GECCO
2006
Springer
15 years 4 months ago
2006
Springer
This paper investigates reinforcement learning (RL) in XCS. First, it formally shows that XCS implements a method of generalized RL based on linear approximators, in which the usu...
117
Voted
JMLR
2010
14 years 7 months ago
2010
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
150
Voted
ECCV
2006
Springer
16 years 2 months ago
2006
Springer
Since it is hard to handcraft the prior knowledge in a shape detection framework, machine learning methods are preferred to exploit the expert annotation of the target shape in a d...