166 search results - page 9 / 34 » On Learning Mixtures of Heavy-Tailed Distributions |
JAIR
1998
13 years 8 months ago
1998
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
ICDAR
2009
IEEE
14 years 3 months ago
2009
IEEE
The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...
BMCBI
2008
13 years 8 months ago
2008
Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties with potential implications f...
ICA
2007
Springer
14 years 2 months ago
2007
Springer
In this paper we describe a methodology for model-based single channel separation of sounds. We present a sparse latent variable model that can learn sounds based on their distribu...
PR
2010
13 years 7 months ago
2010
Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...