598 search results - page 96 / 120 » Learning Generative Models with the Up-Propagation Algorithm |
ICA
2010
Springer
13 years 8 months ago
2010
Springer
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Restricted Boltzmann Machines (RBMs) are a type of probability model over the Boolean cube {-1, 1}n that have recently received much attention. We establish the intractability of ...
CIKM
2005
Springer
14 years 1 months ago
2005
Springer
In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
EVOW
2008
Springer
13 years 9 months ago
2008
Springer
Classifier fusion strategies have shown great potential to enhance the performance of pattern recognition systems. There is an agreement among researchers in classifier combination...
PR
2008
13 years 7 months ago
2008
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...