869 search results - page 39 / 174 » An Effective Learning Method for Max-Min Neural Networks |
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In speech recognition, for example, an acoustic signal is...
PPSN
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. The game of Go has attracted much attention from the artificial intelligence community. A key feature of Go is that humans begin to learn on a small board, and then incr...
KDD
2005
ACM
14 years 9 months ago
2005
ACM
In the paper we show that diagnostic classes in cancer gene expression data sets, which most often include thousands of features (genes), may be effectively separated with simple ...
ATAL
2009
Springer
14 years 3 months ago
2009
Springer
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...
NN
2002
Springer
13 years 8 months ago
2002
Springer
Most of source separation methods focus on stationary sources, so higher-order statistics is necessary for successful separation, unless sources are temporally correlated. For non...