869 search results - page 119 / 174 » MicroARTMAP for pattern recognition problems |
MCS
2002
Springer
13 years 7 months ago
2002
Springer
In classifier combining, one tries to fuse the information that is given by a set of base classifiers. In such a process, one of the difficulties is how to deal with the variabilit...
TCBB
2008
13 years 7 months ago
2008
The problem of discovering novel motifs of binding sites is important to the understanding of gene regulatory networks. Motifs are generally represented by matrices (PWM or PSSM) o...
PRL
2002
13 years 7 months ago
2002
As a new pattern classification method, nearest feature line (NFL) provides an effective way to tackle the sort of pattern recognition problems where only limited data are availab...
DAGM
1995
Springer
13 years 11 months ago
1995
Springer
We introduce a learning algorithm for the weights in a very common class of discrimination functions usually called weighted average". Di erent submodules are produced by som...
PR
2008
13 years 7 months ago
2008
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...