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» Inference in Bayesian Networks
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165
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JMLR
2010
107views more  JMLR 2010»
15 years 28 days ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper
172
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ENGL
2007
109views more  ENGL 2007»
15 years 6 months ago
Using Neural Network for DJIA Stock Selection
—This paper presents methodologies to select equities based on soft-computing models which focus on applying fundamental analysis for equities screening. This paper compares the ...
Tong-Seng Quah
194
Voted
TON
2010
204views more  TON 2010»
15 years 25 days ago
Passive Diagnosis for Wireless Sensor Networks
Network diagnosis, an essential research topic for traditional networking systems, has not received much attention for wireless sensor networks. Existing sensor debugging tools li...
Yunhao Liu, Kebin Liu, Mo Li
CVPR
2008
IEEE
16 years 8 months ago
Physical simulation for probabilistic motion tracking
Human motion tracking is an important problem in computer vision. Most prior approaches have concentrated on efficient inference algorithms and prior motion models; however, few c...
Marek Vondrak, Leonid Sigal, Odest Chadwicke Jenki...
PSIVT
2007
Springer
129views Multimedia» more  PSIVT 2007»
16 years 8 days ago
Multi-target Tracking with Poisson Processes Observations
This paper considers the problem of Bayesian inference in dynamical models with time-varying dimension. These models have been studied in the context of multiple target tracking pr...
Sergio Hernández, Paul Teal