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IJCNN
2008
IEEE
15 years 4 months ago
A comparison of bayesian and conditional density models in probabilistic ozone forecasting
— Probabilistic models were developed to provide predictive distributions of daily maximum surface level ozone concentrations. Five forecast models were compared at two stations ...
Song Cai, William W. Hsieh, Alex J. Cannon
BMCBI
2010
117views more  BMCBI 2010»
14 years 10 months ago
Beyond rotamers: a generative, probabilistic model of side chains in proteins
Background: Accurately covering the conformational space of amino acid side chains is essential for important applications such as protein design, docking and high resolution stru...
Tim Harder, Wouter Boomsma, Martin Paluszewski, Je...
ASPLOS
2010
ACM
15 years 3 months ago
Probabilistic job symbiosis modeling for SMT processor scheduling
Symbiotic job scheduling boosts simultaneous multithreading (SMT) processor performance by co-scheduling jobs that have ‘compatible’ demands on the processor’s shared resour...
Stijn Eyerman, Lieven Eeckhout
CVPR
2008
IEEE
15 years 11 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
SIGMOD
2001
ACM
136views Database» more  SIGMOD 2001»
15 years 10 months ago
Selectivity Estimation using Probabilistic Models
Estimating the result size of complex queries that involve selection on multiple attributes and the join of several relations is a difficult but fundamental task in database query...
Lise Getoor, Benjamin Taskar, Daphne Koller