166 search results - page 17 / 34 » On Learning Mixtures of Heavy-Tailed Distributions |
ICONIP
2004
13 years 10 months ago
2004
Variational methods have proved popular and effective for inference and learning in intractable graphical models. An attractive feature of the approaches based on the Kullback-Lei...
NIPS
2003
13 years 10 months ago
2003
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
Independent component analysis (ICA) is a popular approach for blind source separation (BSS). In this study, we develop a new mutual information measure for BSS and unsupervised l...
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
We present an example of a joint spatial and temporal task learning algorithm that results in a generative model that has applications for on-line visual control. We review work o...
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Graph edit distance provides an error-tolerant way to measure distances between attributed graphs. The effectiveness of edit distance based graph classification algorithms relies ...