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» Selectivity Estimation using Probabilistic Models
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ICCBR
2005
Springer
15 years 10 months ago
Selecting the Best Units in a Fleet: Performance Prediction from Equipment Peers
We focus on the problem of selecting the few vehicles in a fleet that are expected to last the longest without failure. The prediction of each vehicle’s remaining life is based o...
Anil Varma, Kareem S. Aggour, Piero P. Bonissone
CORR
2006
Springer
99views Education» more  CORR 2006»
15 years 5 months ago
Rational stochastic languages
In probabilistic grammatical inference, a usual goal is to infer a good approximation of an unknown distribution P called a stochastic language. The estimate of P stands in some cl...
François Denis, Yann Esposito
COLING
2010
14 years 12 months ago
Bridging Topic Modeling and Personalized Search
This work presents a study to bridge topic modeling and personalized search. A probabilistic topic model is used to extract topics from user search history. These topics can be se...
Wei Song, Yu Zhang, Ting Liu, Sheng Li
GLOBECOM
2006
IEEE
15 years 11 months ago
Blocking Model for All-Optical Overlaid-Star TDM Networks
—This paper studies the blocking performance of a class of all-optical overlaid-star TDM networks using a leastcongested-path routing strategy for path selection. An analytical m...
Jun Zheng, Cheng Peng, Gregor von Bochmann
ICCV
2003
IEEE
16 years 6 months ago
Inferring 3D Structure with a Statistical Image-Based Shape Model
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...