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» Complex Decision Making Processes: their Modelling and Suppo...
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JMLR
2002
115views more  JMLR 2002»
15 years 6 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
ICASSP
2010
IEEE
15 years 6 months ago
Rate distortion optimization for bidirectional scalable motion model
The fully scalable motion model (SMM) is proposed for scalable video codec by taking advantage of motion information scalability. In previous work, SMM has been improved to suppor...
Hu Chen, Meng-Ping Kao, Zhao Liu, Truong Nguyen
PVLDB
2010
146views more  PVLDB 2010»
15 years 1 months ago
HaLoop: Efficient Iterative Data Processing on Large Clusters
The growing demand for large-scale data mining and data analysis applications has led both industry and academia to design new types of highly scalable data-intensive computing pl...
Yingyi Bu, Bill Howe, Magdalena Balazinska, Michae...
EDOC
2008
IEEE
16 years 28 days ago
Using Enterprise Architecture Models for System Quality Analysis
Enterprise Architecture is a model-based approach to business-oriented IT management. To promote good IT decision making, an Enterprise Architecture framework needs to explicate w...
Per Närman, Marten Schönherr, Pontus Joh...
COR
2008
142views more  COR 2008»
15 years 6 months ago
Application of reinforcement learning to the game of Othello
Operations research and management science are often confronted with sequential decision making problems with large state spaces. Standard methods that are used for solving such c...
Nees Jan van Eck, Michiel C. van Wezel