283 search results - page 28 / 57 » Neural Learning from Unbalanced Data |
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
IWCMC
2010
ACM
13 years 9 months ago
2010
ACM
Despite a large body of literature and methods devoted to the Traffic Matrix (TM) estimation problem, the inference of traffic flows volume from aggregated data still represents a ...
ICANN
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
ICANN
2009
Springer
13 years 5 months ago
2009
Springer
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...