40 search results - page 6 / 8 » Optimal Modular Feedforward Neural Nets Based on Functional ... |
GIS
2009
ACM
13 years 9 months ago
2009
ACM
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
ECAI
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Deep Neural Networks (DNN) propose a new and efficient ML architecture based on the layer-wise building of several representation layers. A critical issue for DNNs remain...
GECCO
2007
Springer
13 years 12 months ago
2007
Springer
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
ISNN
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. Artificial Neural Networks (ANNs) and image processing requires massively parallel computation of simple operator accompanied by heavy memory access. Thus, this type of ...
GECCO
2007
Springer
13 years 12 months ago
2007
Springer
Connectivity patterns in biological brains exhibit many repeating motifs. This repetition mirrors inherent geometric regularities in the physical world. For example, stimuli that ...