179 search results - page 19 / 36 » Neural Learning from Unbalanced Data Using Noise Modeling |
NIPS
1997
13 years 10 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
WACV
2008
IEEE
14 years 3 months ago
2008
IEEE
This paper describes a segmentation method for extracting salient regions in outdoor scenes using both 3-D laser scans and imagery information. Our approach is a bottomup attentiv...
GI
1998
Springer
14 years 1 months ago
1998
Springer
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
Due to computational intractability, large scale coordination algorithms are necessarily heuristic and hence require tuning for particular environments. In domains where character...
IPM
2008
13 years 8 months ago
2008
This article explores how to develop complex data driven user models that go beyond the bag of words model and topical relevance. We propose to learn from rich user specific info...