136 search results - page 6 / 28 » Feature selection and classification using flexible neural t... |
DMIN
2006
13 years 9 months ago
2006
An approach to build a multi-class classifier is proposed in this paper. This approach consists of a derivation to show under which loss function an optimal classifier can be obtai...
CSDA
2008
13 years 7 months ago
2008
Mass spectrometry from clinical specimens is used in order to identify biomarkers in a diagnosis. Thus, a reliable method for both feature selection and classification is required...
ISMB
1993
13 years 8 months ago
1993
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
ICAPR
2009
Springer
14 years 2 months ago
2009
Springer
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. In this paper we consider the question of whether it is possible to classify n-back EEG data into different memory loads across subjects. To capture relevant information ...