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CLUSTER
2007
IEEE
15 years 25 days ago
Predictive performance modelling of parallel component compositions
Large-scale scientific computing applications frequently make use of closely-coupled distributed parallel components. The performance of such applications is therefore dependent o...
Lei Zhao, Stephen A. Jarvis
87
Voted
IDA
2009
Springer
15 years 7 months ago
Bayesian Robust PCA for Incomplete Data
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
Jaakko Luttinen, Alexander Ilin, Juha Karhunen
116
Voted
ICML
2000
IEEE
15 years 5 months ago
A Bayesian Framework for Reinforcement Learning
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
Malcolm J. A. Strens
108
Voted
ICASSP
2010
IEEE
14 years 11 months ago
A hierarchical Bayesian model for frame representation
In many signal processing problems, it may be fruitful to represent the signal under study in a redundant linear decomposition called a frame. If a probabilistic approach is adopt...
Lotfi Chaâri, Jean-Christophe Pesquet, Jean-...
116
Voted
ESM
1998
15 years 2 months ago
Developing Interest Management Techniques in Distributed Interactive Simulation Using Java
Bandwidth consumption in distributed real-time simulation, or networked real-time simulation, is a major problem as the number of participants and the sophistication of joint simu...
Jon Saville, Simon J. E. Taylor