465 search results - page 73 / 93 » Active Learning for Parameter Estimation in Bayesian Network... |
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...
GLOBECOM
2009
IEEE
14 years 15 days ago
2009
IEEE
In this paper we discuss the design of optimization algorithms for cognitive wireless networks (CWNs). Maximizing the perceived network performance towards applications by selectin...
NN
2000
Springer
13 years 8 months ago
2000
Springer
Local minima and plateaus pose a serious problem in learning of neural networks. We investigate the hierarchical geometric structure of the parameter space of three-layer perceptr...
CVPR
2008
IEEE
14 years 3 months ago
2008
IEEE
This paper presents a method for recognizing human actions based on pose primitives. In learning mode, the parameters representing poses and activities are estimated from videos. ...
NECO
2011
13 years 3 months ago
2011
Accurately evaluating statistical independence among random variables is a key element of Independent Component Analysis (ICA). In this paper, we employ a squared-loss variant of ...