5046 search results - page 65 / 1010 » Feature Selection from Huge Feature Sets |
191
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AAAI
2004
15 years 7 months ago
2004
The aim of this paper is to compare Bayesian network classifiers to the k-NN classifier based on a subset of features. This subset is established by means of sequential feature se...
180
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ISNN
2005
Springer
15 years 11 months ago
2005
Springer
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
153
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SGAI
2004
Springer
15 years 11 months ago
2004
Springer
In Wrapper based feature selection, the more states that are visited during the search phase of the algorithm the greater the likelihood of finding a feature subset that has a high...
138
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PRL
1998
15 years 6 months ago
1998
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...
164
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ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
Tumor segmentation from MRI data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high diversity in...