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» Comparing the Bayes and Typicalness Frameworks
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ECML
2001
Springer
13 years 9 months ago
Comparing the Bayes and Typicalness Frameworks
When correct priors are known, Bayesian algorithms give optimal decisions, and accurate confidence values for predictions can be obtained. If the prior is incorrect however, these...
Thomas Melluish, Craig Saunders, Ilia Nouretdinov,...
EUROISI
2008
13 years 6 months ago
Locating Key Actors in Social Networks Using Bayes' Posterior Probability Framework
Abstract. Typical analytical measures in graph theory like degree centrality, betweenness and closeness centralities are very common and have long history of their successful use. ...
Dil Muhammad Akbar Hussain, Daniel Ortiz Arroyo
GECCO
2004
Springer
142views Optimization» more  GECCO 2004»
13 years 10 months ago
Improving MACS Thanks to a Comparison with 2TBNs
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
Olivier Sigaud, Thierry Gourdin, Pierre-Henri Wuil...
ICASSP
2010
IEEE
13 years 5 months ago
Using online model comparison in the Variational Bayes framework for online unsupervised Voice Activity Detection
This paper presents the use of online Variational Bayes method for online Voice Activity Detection (VAD) in an unsupervised context. In conventional VAD, the final step often rel...
David Cournapeau, Shinji Watanabe, Atsushi Nakamur...
ICPR
2002
IEEE
14 years 6 months ago
Emotion Recognition Using a Cauchy Naive Bayes Classifier
Recognizing human facial expression and emotion by computer is an interesting and challenging problem. In this paper we propose a method for recognizing emotions through facial ex...
Nicu Sebe, Michael S. Lew, Ira Cohen, Ashutosh Gar...