5802 search results - page 64 / 1161 » Parallelizing Feature Selection |
129
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FSKD
2005
Springer
15 years 7 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...
137
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EWCBR
2006
Springer
15 years 5 months ago
2006
Springer
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
114
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NIPS
2004
15 years 3 months ago
2004
The NIPS 2003 workshops included a feature selection competition organized by the authors. We provided participants with five datasets from different application domains and calle...
105
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APIN
2008
15 years 2 months ago
2008
This paper presents a data-driven approach for feature selection to address the common problem of dealing with high-dimensional data. This approach is able to handle the real-valu...
130
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JCP
2008
15 years 23 days ago
2008
Iterative search margin based algorithm(Simba) has been proven effective for feature selection. However, it still has the following disadvantages: (1) the previously proposed model...