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MA
2010
Springer
172views Communications» more  MA 2010»
13 years 6 months ago
On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
Vivekananda Roy, James P. Hobert
IEEEICCI
2005
IEEE
14 years 1 months ago
Theoretical study on a new information entropy and its use in attribute reduction
The positive region in rough set framework and Shannon conditional entropy are two traditional uncertainty measurements, used usually as heuristic metrics in attribute reduction. ...
Ping Luo, Qing He, Zhongzhi Shi
ETS
2002
IEEE
114views Hardware» more  ETS 2002»
13 years 7 months ago
Adoption of Communication Technologies in a Texas Health Setting
Advances in communication technologies generate new opportunities for collaboration. With each technological innovation, we acquire a greater capacity to share information, resour...
L. Suzanne Suggs, William B. Cissell, Chris McInty...
ISMIS
1994
Springer
13 years 11 months ago
Distributed Multi-Agent Probabilistic Reasoning With Bayesian Networks
Main stream approaches in distributed artificial intelligence (DAI) are essentially logic-based. Little has been reported to explore probabilistic approach in DAI. On the other han...
Yang Xiang
SUM
2009
Springer
14 years 2 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti