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» On Computing Functions with Uncertainty
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TKDE
2008
108views more  TKDE 2008»
13 years 8 months ago
Grid Service Discovery with Rough Sets
The computational grid is rapidly evolving into a service-oriented computing infrastructure that facilitates resource sharing and large-scale problem solving over the Internet. Ser...
Maozhen Li, Bin Yu, Omer F. Rana, Zidong Wang
ICCV
2011
IEEE
12 years 9 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
RSS
2007
136views Robotics» more  RSS 2007»
13 years 10 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...
PE
2008
Springer
167views Optimization» more  PE 2008»
13 years 8 months ago
Analysis of ratings on trust inference in open environments
Ratings (also known as recommendations) provide an efficient and effective way to build trust relationship in the human society, by making use of the information from others rathe...
Zhengqiang Liang, Weisong Shi
BMCBI
2011
13 years 15 days ago
Robust joint analysis allowing for model uncertainty in two-stage genetic association studies
Background: The cost efficient two-stage design is often used in genome-wide association studies (GWASs) in searching for genetic loci underlying the susceptibility for complex di...
Dongdong Pan, Qizhai Li, Ningning Jiang, Aiyi Liu,...