151 search results - page 8 / 31 » Optimized Approximation Algorithm in Neural Networks Without... |
NN
2008
Springer
14 years 9 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
GECCO
2007
Springer
15 years 1 months ago
2007
Springer
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
EOR
2006
14 years 9 months ago
2006
Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
ICAI
2007
14 years 11 months ago
2007
Abstract— The paper proposes a dynamic programming algorithm for training of functional networks. The algorithm considers each node as a state. The problem is formulated as find...