256 search results - page 28 / 52 » Optimal transfer function neural networks |
IWANN
1999
Springer
14 years 5 days ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— We present a new optimization procedure which is particularly suited for the solution of second-order kernel methods like e.g. Kernel-PCA. Common to these methods is that there...
NN
2000
Springer
13 years 7 months ago
2000
Springer
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
SPIC
2010
13 years 2 months ago
2010
This paper presents a complete framework for attention-based video streaming for low bandwidth networks. First, motivated by the fovea-periphery distinction of biological vision s...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
be regarded as an abstraction of the underlying effective network connectivity, i.e. its functional connectivity. Although similar functional connectivity models have been describe...