869 search results - page 96 / 174 » An Effective Learning Method for Max-Min Neural Networks |
158
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ANNPR
2006
Springer
15 years 7 months ago
2006
Springer
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...
133
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NN
2002
Springer
15 years 3 months ago
2002
Springer
We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of ...
143
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IAT
2008
IEEE
15 years 4 months ago
2008
IEEE
TD-FALCON (Temporal Difference - Fusion Architecture for Learning, COgnition, and Navigation) is a class of self-organizing neural networks that incorporates Temporal Difference (...
150
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ISNN
2005
Springer
15 years 9 months ago
2005
Springer
This paper presents a learning framework for blind source separation (BSS), in which the BSS is formulated as generalized Eigenvalue (GE) problem. Compared to the typical informati...
126
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AUSAI
1999
Springer
15 years 8 months ago
1999
Springer
Abstract. Q-learning can be used to learn a control policy that maximises a scalar reward through interaction with the environment. Qlearning is commonly applied to problems with d...