264 search results - page 1 / 53 » Factorial Learning and the EM Algorithm |
NIPS
1994
13 years 6 months ago
1994
Many real world learning problems are best characterized by an interaction of multiple independent causes or factors. Discovering such causal structure from the data is the focus ...
ICB
2007
Springer
13 years 6 months ago
2007
Springer
Gait recognition is an effective approach for human identification at a distance. During the last decade, the theory of hidden Markov models (HMMs) has been used successfully in th...
NLPRS
2001
Springer
13 years 9 months ago
2001
Springer
WeproposeanewapproachtoEMlearning of PCFGs. We completely separate the process of EM learning from that of parsing, andfor theformer, weintroduce a new EM algorithm called the gra...
ICAPR
2005
Springer
13 years 10 months ago
2005
Springer
In this paper, Multi-View Expectation and Maximization algorithm for finite mixture models is proposed by us to handle realworld learning problems which have natural feature split...
NIPS
2003
13 years 6 months ago
2003
We discuss the integration of the expectation-maximization (EM) algorithm for maximum likelihood learning of Bayesian networks with belief propagation algorithms for approximate i...