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UAI
2008
13 years 10 months ago
Cumulative distribution networks and the derivative-sum-product algorithm
We introduce a new type of graphical model called a `cumulative distribution network' (CDN), which expresses a joint cumulative distribution as a product of local functions. ...
Jim C. Huang, Brendan J. Frey
SDM
2004
SIAM
163views Data Mining» more  SDM 2004»
13 years 10 months ago
Basic Association Rules
Previous approaches for mining association rules generate large sets of association rules. Such sets are difficult for users to understand and manage. Here, the concept of a restri...
Guichong Li, Howard J. Hamilton
UAI
1998
13 years 10 months ago
Large Deviation Methods for Approximate Probabilistic Inference
We study two-layer belief networks of binary random variables in which the conditional probabilities Pr childjparents depend monotonically on weighted sums of the parents. In larg...
Michael J. Kearns, Lawrence K. Saul
UAI
1994
13 years 10 months ago
A New Look at Causal Independence
Heckerman (1993) defined causal independence in terms of a set of temporal conditional independence statements. These statements formalized certain types of causal interaction whe...
David Heckerman, John S. Breese
CORR
2008
Springer
114views Education» more  CORR 2008»
13 years 9 months ago
Network-based consensus averaging with general noisy channels
This paper focuses on the consensus averaging problem on graphs under general noisy channels. We study a particular class of distributed consensus algorithms based on damped updat...
Ram Rajagopal, Martin J. Wainwright