248 search results - page 16 / 50 » Learning the Structure of Dynamic Probabilistic Networks |
VLSID
2005
IEEE
14 years 8 months ago
2005
IEEE
We propose a novel, non-simulative, probabilistic model for switching activity in sequential circuits, capturing both spatio-temporal correlations at internal nodes and higher ord...
NN
2007
Springer
13 years 7 months ago
2007
Springer
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
ISNN
2007
Springer
14 years 1 months ago
2007
Springer
A novel online dynamic value system for machine learning is proposed in this paper. The proposed system has a dual network structure: data processing network (DPN) and information ...