78 search results - page 5 / 16 » Influence of weight-decay training in input selection method... |
83
Voted
TKDE
2002
14 years 9 months ago
2002
The generation of a set of rules underlying a classification problem is performed by applying a new algorithm, called Hamming Clustering (HC). It reconstructs the and-or expressio...
120
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SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
ICCS
2007
Springer
15 years 3 months ago
2007
Springer
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
BMCBI
2006
14 years 9 months ago
2006
Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...
124
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EUSFLAT
2009
14 years 7 months ago
2009
In this paper, we propose a novel algorithm for wavelet feature extraction as input to a supervised Multi-Class Classifier to improve classification performance. In particular, to ...