736 search results - page 39 / 148 » Pruning Neural Networks with Distribution Estimation Algorit... |
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...
NIPS
2007
13 years 10 months ago
2007
Point process encoding models provide powerful statistical methods for understanding the responses of neurons to sensory stimuli. Although these models have been successfully appl...
IJCAI
1997
13 years 9 months ago
1997
In this paper, we concentrate on the expressive power of hierarchical structures in neural networks. Recently, the so-called SplitNet model was introduced. It develops a dynamic n...
VTC
2006
IEEE
14 years 2 months ago
2006
IEEE
Distributed localization in wireless sensor networks has attracted significant interest in recent years. In this paper, we propose two improvements towards the DV-Hop algorithm: th...
ICANN
2005
Springer
14 years 2 months ago
2005
Springer
A common assumption in supervised learning is that the training and test input points follow the same probability distribution. However, this assumption is not fulfilled, e.g., in...