1451 search results - page 116 / 291 » A Clustering Based Niching Method for Evolutionary Algorithm... |
115
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ICASSP
2009
IEEE
15 years 11 months ago
2009
IEEE
In this paper we investigate the use of data driven clustering methods for functional connectivity analysis in fMRI. In particular, we consider the K-Means and Spectral Clustering...
188
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AUSDM
2008
Springer
15 years 6 months ago
2008
Springer
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Dat...
165
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SIGMOD
2001
ACM
16 years 4 months ago
2001
ACM
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
146
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FSKD
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
148
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HIS
2004
15 years 5 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...