1578 search results - page 141 / 316 » Temporal Data Classification Using Linear Classifiers |
151
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BMCBI
2004
15 years 2 months ago
2004
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
AICCSA
2007
IEEE
15 years 7 months ago
2007
IEEE
In this paper the Karnaugh and Quine-McCluskey methods are used for symbolic classification problem, and then these methods are compared with other famous available methods. Becau...
112
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ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
Electroencephalogram (EEG) is an important technique for detecting epileptic seizures. In this paper a method of classification of EEG signal into normal, interictal and ictal cla...
119
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KDD
2007
ACM
16 years 3 months ago
2007
ACM
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
101
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KDD
1997
ACM
15 years 7 months ago
1997
ACM
In many data mining applications we are given a set of training examples and asked to construct a regression machine or a classifier that has low prediction error or low error rat...