566 search results - page 25 / 114 » Approximation Spaces in Machine Learning and Pattern Recogni... |
151
click to vote
AAAI
2011
14 years 3 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
111
click to vote
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Basis functions derived from an undirected graph connecting nearby samples from a Markov decision process (MDP) have proven useful for approximating value functions. The success o...
155
click to vote
ICIP
2008
IEEE
16 years 4 months ago
2008
IEEE
Subspace learning techniques are widespread in pattern recognition research. They include PCA, ICA, LPP, etc. These techniques are generally linear and unsupervised. The problem o...
124
click to vote
PR
2007
15 years 2 months ago
2007
In this paper, we propose a new constructive method, based on cooperative coevolution, for designing automatically the structure of a neural network for classification. Our appro...
144
click to vote
ICONIP
2008
15 years 4 months ago
2008
Abstract. Face perception and text reading are two of the most developed visual perceptual skills in humans. Understanding which features in the respective visual patterns make the...