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» A Probabilistic Approach to Predict Peers
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ICML
2005
IEEE
16 years 4 months ago
Preference learning with Gaussian processes
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
Wei Chu, Zoubin Ghahramani
FMOODS
2007
15 years 5 months ago
A Probabilistic Formal Analysis Approach to Cross Layer Optimization in Distributed Embedded Systems
We present a novel approach, based on probabilistic formal methods, to developing cross-layer resource optimization policies for resource limited distributed systems. One objective...
Minyoung Kim, Mark-Oliver Stehr, Carolyn L. Talcot...
RECOMB
2008
Springer
16 years 4 months ago
A Bayesian Approach to Protein Inference Problem in Shotgun Proteomics
The protein inference problem represents a major challenge in shotgun proteomics. Here we describe a novel Bayesian approach to address this challenge that incorporates the predict...
Yong Fuga Li, Randy J. Arnold, Yixue Li, Predrag R...
TASLP
2011
14 years 11 months ago
Predicting Preference Judgments of Individual Normal and Hearing-Impaired Listeners With Gaussian Processes
Abstract—A probabilistic kernel approach to pairwise preference learning based on Gaussian processes is applied to predict preference judgments for sound quality degradation mech...
Perry Groot, Tom Heskes, Tjeerd Dijkstra, James M....
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WEBDB
2005
Springer
129views Database» more  WEBDB 2005»
15 years 9 months ago
Processing Top-N Queries in P2P-based Web Integration Systems with Probabilistic Guarantees
Efficient query processing in P2P-based Web integration systems poses a variety of challenges resulting from the strict decentralization and limited knowledge. As a special probl...
Katja Hose, Marcel Karnstedt, Kai-Uwe Sattler, Dan...