1282 search results - page 103 / 257 » Feature selection with neural networks |
IJCNN
2000
IEEE
14 years 2 months ago
2000
IEEE
Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
NN
2002
Springer
13 years 9 months ago
2002
Springer
Recognition-by-components is one of the possible strategies proposed for object recognition by the brain, but little is known about the low-level mechanism by which the parts of o...
IDEAL
2004
Springer
14 years 3 months ago
2004
Springer
This paper defines a constrained Artificial Neural Network (ANN) that can be employed for highly-dependable roles in safety critical applications. The derived model is based upon t...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
This paper describes the Arabic broadcast transcription system fielded by IBM in the GALE Phase 3.5 machine translation evaluation. Key advances compared to our Phase 2.5 system ...