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» Decision Making Using Probabilistic Inference Methods
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GW
2009
Springer
149views Biometrics» more  GW 2009»
14 years 7 months ago
Systematicity and Idiosyncrasy in Iconic Gesture Use: Empirical Analysis and Computational Modeling
Abstract. Why an iconic gesture takes its particular form is a largely open question, given the variations one finds across both situations and speakers. We present results of an e...
Kirsten Bergmann, Stefan Kopp
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
15 years 3 months ago
A parallel framework for loopy belief propagation
There are many innovative proposals introduced in the literature under the evolutionary computation field, from which estimation of distribution algorithms (EDAs) is one of them....
Alexander Mendiburu, Roberto Santana, Jose Antonio...
ICML
2005
IEEE
15 years 10 months ago
Naive Bayes models for probability estimation
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
Daniel Lowd, Pedro Domingos
IJAR
2002
93views more  IJAR 2002»
14 years 9 months ago
Troubleshooting using probabilistic networks and value of information
We develop a decision-theoretic method that yields approximate, low cost troubleshooting plans by making more relevant observations and devoting more time to generate a plan. The ...
Korhan Gökçay, Taner Bilgiç
BMCBI
2010
153views more  BMCBI 2010»
14 years 9 months ago
Metamotifs - a generative model for building families of nucleotide position weight matrices
Background: Development of high-throughput methods for measuring DNA interactions of transcription factors together with computational advances in short motif inference algorithms...
Matias Piipari, Thomas A. Down, Tim J. P. Hubbard