467 search results - page 28 / 94 » Learning Mixtures of DAG Models |
JAIR
1998
13 years 9 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...
SADM
2010
13 years 4 months ago
2010
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
AND
2009
13 years 7 months ago
2009
In this paper we propose a new approach to capture the inclination towards a certain election candidate from the contents of blogs and to explain why that inclination may be so. T...
NIPS
1994
13 years 11 months ago
1994
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
ICPR
2006
IEEE
14 years 11 months ago
2006
IEEE
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...