179 search results - page 10 / 36 » Neural Learning from Unbalanced Data Using Noise Modeling |
NIPS
2004
13 years 10 months ago
2004
It has been suggested that the primary goal of the sensory system is to represent input in such a way as to reduce the high degree of redundancy. Given a noisy neural representati...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— In many applications of supervised learning, the conditional average of the target variables is not sufficient for prediction. The dependencies between the explanatory variabl...
EUSFLAT
2009
13 years 6 months ago
2009
The aim of this paper is to propose a new Kalman Filter Recurrent Neural Network (KFRNN) topology and a recursive Levenberg-Marquardt (L-M) algorithm of its learning capable to est...
NPL
2006
13 years 8 months ago
2006
The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
FBIT
2007
IEEE
14 years 3 months ago
2007
IEEE
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...