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» Selectivity Estimation using Probabilistic Models
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CLUSTER
2008
IEEE
15 years 6 months ago
Empirical-based probabilistic upper bounds for urgent computing applications
—Scientific simulation and modeling often aid in making critical decisions in such diverse fields as city planning, severe weather prediction and influenza modeling. In some o...
Nick Trebon, Peter H. Beckman
ICVS
1999
Springer
15 years 4 months ago
3-D Modelling and Robot Localization from Visual and Range Data in Natural Scenes
Abstract. This paper concerns the exploration of a natural environment by a mobile robot equipped with both a video camera and a range sensor (stereo or laser range finder); we fo...
Carlos Parra, Rafael Murrieta-Cid, Michel Devy, Ma...
BIOINFORMATICS
2006
124views more  BIOINFORMATICS 2006»
14 years 12 months ago
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Neil D. Lawrence, Magnus Rattra...
EPEW
2008
Springer
15 years 1 months ago
Evaluation of P2P Algorithms for Probabilistic Trust Inference in a Web of Trust
The problem of finding trust paths and estimating the trust one can place in a partner arises in various application areas, including virtual organisations, authentication systems ...
Huqiu Zhang, Aad P. A. van Moorsel
EOR
2010
84views more  EOR 2010»
14 years 12 months ago
The selection efficiency of tournaments
We discuss tournaments in terms of their efficiency as probabilistic mechanisms that select high-quality alternatives ("players") in a noisy environment. We use two crit...
Dmitry Ryvkin