1547 search results - page 188 / 310 » Randomized Variable Elimination |
113
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UAI
2004
15 years 2 months ago
2004
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
105
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ICASSP
2010
IEEE
15 years 29 days ago
2010
IEEE
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
102
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CORR
2010
Springer
15 years 27 days ago
2010
Springer
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
104
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CORR
2010
Springer
15 years 26 days ago
2010
Springer
We discuss the definability of finite graphs in first-order logic with two relation symbols for adjacency and equality of vertices. The logical depth D(G) of a graph G is equal to ...
99
Voted
AMC
2006
15 years 25 days ago
2006
We develop a multi-objective model for the resource allocation problem in a dynamic PERT network, where the activity durations are exponentially distributed random variables and t...