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126
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ML
2010
ACM
151views Machine Learning» more  ML 2010»
15 years 1 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
128
Voted
ICMI
2007
Springer
199views Biometrics» more  ICMI 2007»
15 years 8 months ago
Interest estimation based on dynamic bayesian networks for visual attentive presentation agents
In this paper, we describe an interface consisting of a virtual showroom where a team of two highly realistic 3D agents presents product items in an entertaining and attractive wa...
Boris Brandherm, Helmut Prendinger, Mitsuru Ishizu...
132
Voted
HICSS
2006
IEEE
261views Biometrics» more  HICSS 2006»
15 years 8 months ago
e-Risk Management with Insurance: A Framework Using Copula Aided Bayesian Belief Networks
: e-business organizations are heavily dependent on distributed 24X7 robust information computing systems, for their daily operations. To secure distributed online transactions, th...
Arunabha Mukhopadhyay, Samir Chatterjee, Debashis ...
129
Voted
BMCBI
2007
172views more  BMCBI 2007»
15 years 2 months ago
Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
Fulvia Ferrazzi, Paola Sebastiani, Marco Ramoni, R...
139
Voted
BMCBI
2008
137views more  BMCBI 2008»
15 years 2 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She