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IJCNN
2006
IEEE
16 years 22 days ago
A Variational EM Approach to Predicting Uncertainty in Supervised Learning
— In many applications of supervised learning, the conditional average of the target variables is not sufficient for prediction. The dependencies between the explanatory variabl...
Markus Harva
JAIR
2002
120views more  JAIR 2002»
15 years 6 months ago
Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
Hagit Shatkay, Leslie Pack Kaelbling
ECML
2007
Springer
15 years 10 months ago
Modeling Highway Traffic Volumes
Most traffic management and optimization tasks, such as accident detection or optimal vehicle routing, require an ability to adequately model, reason about and predict irregular an...
Tomás Singliar, Milos Hauskrecht
LISA
2000
15 years 8 months ago
Peep (The Network Auralizer): Monitoring Your Network with Sound
Activities in complex networks are often both too important to ignore and too tedious to watch. We created a network monitoring system, Peep, that replaces visual monitoring with ...
Michael Gilfix, Alva L. Couch
CIBCB
2006
IEEE
16 years 23 days ago
Visualization of Support Vector Machines with Unsupervised Learning
– The visualization of support vector machines in realistic settings is a difficult problem due to the high dimensionality of the typical datasets involved. However, such visuali...
Lutz Hamel