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» Estimation of Chaotic Probabilities
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SUM
2009
Springer
16 years 11 days ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
RECSYS
2009
ACM
16 years 10 days ago
Collaborative prediction and ranking with non-random missing data
A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ï¬...
Benjamin M. Marlin, Richard S. Zemel
CDC
2008
IEEE
152views Control Systems» more  CDC 2008»
16 years 9 days ago
Non-uniform small-gain theorems for systems with unstable invariant sets
— We consider the problem of small-gain analysis of asymptotic behavior in interconnected nonlinear dynamic systems. Mathematical models of these systems are allowed to be uncert...
Ivan Tyukin, Erik Steur, Henk Nijmeijer, Cees van ...
DATE
2008
IEEE
116views Hardware» more  DATE 2008»
16 years 9 days ago
A Variation Aware High Level Synthesis Framework
— The worst-case delay/power of function units has been used in traditional high level synthesis to facilitate design space exploration. As technology scales to nanometer regime,...
Feng Wang 0004, Guangyu Sun, Yuan Xie
ICASSP
2008
IEEE
16 years 8 days ago
Hierarchical lane detection for different types of roads
This paper presents a hierarchical lane detection system with the ability to deal with both structured and unstructured roads. The proposed system classifies the environment first...
Hsu-Yung Cheng, Chih-Chang Yu, Chien-Cheng Tseng, ...