945 search results - page 125 / 189 » Dialog Convergence and Learning |
205
Voted
ISNN
2007
Springer
16 years 1 months ago
2007
Springer
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
193
Voted
COLT
2005
Springer
16 years 28 days ago
2005
Springer
In the machine learning community it is generally believed that graph Laplacians corresponding to a finite sample of data points converge to a continuous Laplace operator if the s...
223
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ICML
2004
IEEE
16 years 25 days ago
2004
IEEE
LASSO (Least Absolute Shrinkage and Selection Operator) is a useful tool to achieve the shrinkage and variable selection simultaneously. Since LASSO uses the L1 penalty, the optim...
188
Voted
KES
1998
Springer
15 years 11 months ago
1998
Springer
Several intelligent features are embedded in the Growing Competitive Linear Local Mapping Neural Network. They result in an adaptive, fast-learning, very efficient control scheme, ...
219
Voted
ROBOCUP
2000
Springer
15 years 11 months ago
2000
Springer
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...