142 search results - page 11 / 29 » Factorial Hidden Markov Models and the Generalized Backfitti... |
AUTOMATICA
2007
13 years 7 months ago
2007
The sensor scheduling problem can be formulated as a controlled hidden Markov model and this paper solves the problem when the state, observation and action spaces are continuous....
BMCBI
2005
13 years 7 months ago
2005
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
WSDM
2010
ACM
14 years 5 months ago
2010
ACM
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
ACL
2009
13 years 5 months ago
2009
Statistical language modeling (SLM) has been used in many different domains for decades and has also been applied to information retrieval (IR) recently. Documents retrieved using...
PAMI
2008
13 years 7 months ago
2008
This paper proposes a method for detecting object classes that exhibit variable shape structure in heavily cluttered images. The term "variable shape structure" is used t...