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119
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JMLR
2002
15 years 2 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
ICIP
2008
IEEE
16 years 4 months ago
2008
IEEE
Here we propose an alternative non-explicit way to take into account the relations among wavelet coefficients in natural images for denoising: we use Support Vector Machines (SVM)...
120
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ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
In genomic sequence analysis tasks like splice site recognition or promoter identification, large amounts of training sequences are available, and indeed needed to achieve suffici...
119
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CEC
2009
IEEE
15 years 9 months ago
2009
IEEE
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
123
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AIME
2009
Springer
15 years 3 months ago
2009
Springer
Abstract. The paper proposes a learning approach to support medical researchers in the context of in-vivo cancer imaging, and specifically in the analysis of Dynamic Contrast-Enhan...