87 search results - page 3 / 18 » A Neural Support Vector Network Architecture with Adaptive K... |
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
IJCNN
2006
IEEE
14 years 8 days ago
2006
IEEE
— In this paper, we show that one-class SVMs can also utilize data covariance in a robust manner to improve performance. Furthermore, by constraining the desired kernel function ...
BMCBI
2007
13 years 6 months ago
2007
Background: Much recent work in bioinformatics has focused on the inference of various types of biological networks, representing gene regulation, metabolic processes, protein-pro...
TNN
2010
13 years 29 days ago
2010
In this paper, we present the evolution of adaptive resonance theory (ART) neural network architectures (classifiers) using a multiobjective optimization approach. In particular, w...
ICANN
2001
Springer
13 years 10 months ago
2001
Springer
Sparse kernel regressors have become popular by applying the support vector method to regression problems. Although this approach has been shown to exhibit excellent generalization...