1412 search results - page 97 / 283 » Selectivity Estimation using Probabilistic Models |
INFOCOM
2002
IEEE
15 years 4 months ago
2002
IEEE
—BGP allows routers to use general preference policies for route selection. This paper studies the impact of these policies on convergence time. We first describe a real-time mo...
ISBI
2004
IEEE
16 years 18 days ago
2004
IEEE
In functional Magnetic Resonance Imaging (fMRI), recent works have addressed the non parametric estimation of the Hemodynamic Response Function (HRF) under linearity and stationar...
PERCOM
2007
ACM
15 years 11 months ago
2007
ACM
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...
ICCV
2007
IEEE
15 years 6 months ago
2007
IEEE
This paper presents a novel motion segmentation algorithm on the basis of mixture of Dirichlet process (MDP) models, a kind of nonparametric Bayesian framework. In contrast to pre...
IWINAC
2007
Springer
15 years 6 months ago
2007
Springer
One of the key points in Estimation of Distribution Algorithms (EDAs) is the learning of the probabilistic graphical model used to guide the search: the richer the model the more ...