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» Ontology-Based Generation of Bayesian Networks
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ICML
2002
IEEE
16 years 15 days ago
Exact model averaging with naive Bayesian classifiers
The naive classifier is a well-established mathematical model whose simplicity, speed and accuracy have made it a popular choice for classification in AI and engineering. In this ...
Denver Dash, Gregory F. Cooper
IEAAIE
2007
Springer
15 years 5 months ago
Generating Cartoon-Style Summary of Daily Life with Multimedia Mobile Devices
Mobile devices are treasure boxes of personal information containing user’s context, personal schedule, diary, short messages, photos, and videos. Also, user’s usage informatio...
Sung-Bae Cho, Kyung-Joong Kim, Keum-Sung Hwang
WWW
2006
ACM
16 years 11 days ago
Probabilistic models for discovering e-communities
The increasing amount of communication between individuals in e-formats (e.g. email, Instant messaging and the Web) has motivated computational research in social network analysis...
Ding Zhou, Eren Manavoglu, Jia Li, C. Lee Giles, H...
JMLR
2010
159views more  JMLR 2010»
14 years 6 months ago
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
Nikolai Slavov
IJAR
2010
152views more  IJAR 2010»
14 years 10 months ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...