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JLP
2008
134views more  JLP 2008»
15 years 18 days ago
Backwards type analysis of asynchronous method calls
Asynchronous method calls have been proposed to better integrate object orientation with distribution. In the Creol language, asynchronous method calls are combined with so-called...
Einar Broch Johnsen, Ingrid Chieh Yu
ICML
2005
IEEE
16 years 1 months ago
Learning class-discriminative dynamic Bayesian networks
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...
John Burge, Terran Lane
104
Voted
ICMLA
2007
15 years 2 months ago
Learning bayesian networks consistent with the optimal branching
We introduce a polynomial-time algorithm to learn Bayesian networks whose structure is restricted to nodes with in-degree at most k and to edges consistent with the optimal branch...
Alexandra M. Carvalho, Arlindo L. Oliveira
96
Voted
ECAI
2006
Springer
15 years 4 months ago
Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice?
One problem faced in knowledge engineering for Bayesian networks is the exponential growth of the number of parameters in their conditional probability tables (CPTs). The most comm...
Adam Zagorecki, Marek J. Druzdzel
IJCAI
2003
15 years 2 months ago
When Discriminative Learning of Bayesian Network Parameters Is Easy
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Hannes Wettig, Peter Grünwald, Teemu Roos, Pe...