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IJAMCIGI
2010
90views more  IJAMCIGI 2010»
15 years 2 months ago
A Reinforcement Learning - Great-Deluge Hyper-Heuristic for Examination Timetabling
Hyper-heuristics are identified as the methodologies that search the space generated by a finite set of low level heuristics for solving difficult problems. One of the iterative h...
Ender Özcan, Mustafa Misir, Gabriela Ochoa, E...
COLING
2010
14 years 12 months ago
Efficient Statement Identification for Automatic Market Forecasting
Strategic business decision making involves the analysis of market forecasts. Today, the identification and aggregation of relevant market statements is done by human experts, oft...
Henning Wachsmuth, Peter Prettenhofer, Benno Stein
FGCS
2011
115views more  FGCS 2011»
14 years 12 months ago
An approach for virtual appliance distribution for service deployment
Fulfilling a service request in highly dynamic service environments may require deploying a service. Therefore, the effectiveness of service deployment systems affects initial ...
Gabor Kecskemeti, Gábor Terstyánszky...
JDIM
2010
125views more  JDIM 2010»
14 years 11 months ago
Building Context-Awareness Models for Mobile Applications
ABSTRACT. The design process followed to produce traditional applications needs to be enhanced to cope with new contextaware ubiquitous application requirements. With the popularit...
Chantal Taconet, Zakia Kazi-Aoul
JMLR
2010
157views more  JMLR 2010»
14 years 11 months ago
Why are DBNs sparse?
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
Shaunak Chatterjee, Stuart Russell