179 search results - page 35 / 36 » Neural Learning from Unbalanced Data Using Noise Modeling |
KDD
2003
ACM
14 years 6 months ago
2003
ACM
Finding effective methods for developing an ensemble of models has been an active research area of large-scale data mining in recent years. Models learned from data are often subj...
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
A major shortcoming of discriminative recognition and detection methods is their noise sensitivity, both during training and recognition. This may lead to very sensitive and britt...
IJCNN
2007
IEEE
14 years 16 days ago
2007
IEEE
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
AUSAI
2007
Springer
14 years 13 days ago
2007
Springer
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
ESANN
2007
13 years 7 months ago
2007
Abstract. Several models have been proposed for spatio-temporal selforganization, among which the TOM model by Wiemer [1] is particularly promising. In this paper, we propose to ad...