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UAI
1996
13 years 11 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
UAI
1990
13 years 11 months ago
Ideal reformulation of belief networks
The intelligent reformulation or restructuring of a belief network can greatly increase the efficiency of inference. However, time expended for reformulation is not available for ...
Jack S. Breese, Eric Horvitz
UAI
1992
13 years 11 months ago
Exploring Localization in Bayesian Networks for Large Expert Systems
Current Bayesian net representations do not consider structure in the domain and include all variables in a homogeneous network. At any time, a human reasoner in a large domain ma...
Yang Xiang, David Poole, Michael P. Beddoes
UAI
2007
13 years 11 months ago
Indirectly Visible Bayesian Student Models
Inspectable Bayesian student models have been used to support student reflection, knowledge awareness and communication among teacher, students and parents. This paper presents a...
Juan-Diego Zapata-Rivera
UAI
2000
13 years 11 months ago
A Decision Theoretic Approach to Targeted Advertising
A simple advertising strategy that can be used to help increase sales of a product is to mail out special o ers to selected potential customers. Because there is a cost associated...
David Maxwell Chickering, David Heckerman