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ICML
2009
IEEE
15 years 10 months ago
Learning structurally consistent undirected probabilistic graphical models
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
Sushmita Roy, Terran Lane, Margaret Werner-Washbur...
HICSS
2003
IEEE
99views Biometrics» more  HICSS 2003»
15 years 3 months ago
A probabilistic loading-dependent model of cascading failure and possible implications for blackouts
Catastrophic disruptions of large, interconnected infrastructure systems are often due to cascading failure. For example, large blackouts of electric power systems are typically c...
Ian Dobson, Benjamin A. Carreras, David E. Newman
GIS
2010
ACM
14 years 8 months ago
Probabilistic modeling of traffic lanes from GPS traces
Instead of traditional ways of creating road maps, an attractive alternative is to create a map based on GPS traces of regular drivers. One important aspect of this approach is to...
Yihua Chen, John Krumm
ICML
2008
IEEE
15 years 10 months ago
The asymptotics of semi-supervised learning in discriminative probabilistic models
Semi-supervised learning aims at taking advantage of unlabeled data to improve the efficiency of supervised learning procedures. For discriminative models however, this is a chall...
François Yvon, Nataliya Sokolovska, Olivier...
IBPRIA
2003
Springer
15 years 3 months ago
A Probabilistic Model for the Cooperative Modular Neural Network
Abstract. This paper presents a model for the probability of correct classification for the Cooperative Modular Neural Network (CMNN). The model enables the estimation of the perf...
Luís A. Alexandre, Aurélio C. Campil...