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IJCAI
2003
14 years 7 days ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
QEST
2008
IEEE
14 years 5 months ago
Hintikka Games for PCTL on Labeled Markov Chains
We present Hintikka games for formulae of the probabilistic temporal logic PCTL and countable labeled Markov chains as models, giving an operational account of the denotational se...
Harald Fecher, Michael Huth, Nir Piterman, Daniel ...
CLIN
2003
14 years 7 days ago
On the Statistical Consistency of DOP Estimators
A statistical estimator attempts to guess an unknown probability distribution by analyzing a sample from this distribution. One desirable property of an estimator is that its gues...
Detlef Prescher, Remko Scha, Khalil Sima'an, Andre...
BMCBI
2006
119views more  BMCBI 2006»
13 years 11 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
GREC
2007
Springer
14 years 2 months ago
Developing Domain-Specific Gesture Recognizers for Smart Diagram Environments
Computer understanding of visual languages in pen-based environments requires a combination of lexical analysis in which the basic tokens are recognized from hand-drawn gestures an...
Adrian C. Bickerstaffe, Aidan Lane, Bernd Meyer, K...