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» Learning all optimal policies with multiple criteria
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TMC
2012
11 years 11 months ago
Message Drop and Scheduling in DTNs: Theory and Practice
Abstract—In order to achieve data delivery in Delay Tolerant Networks (DTN), researchers have proposed the use of store-carryand-forward protocols: a node there may store a messa...
Amir Krifa, Chadi Barakat, Thrasyvoulos Spyropoulo...
CSL
2010
Springer
13 years 8 months ago
Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems
This paper describes a statistically motivated framework for performing real-time dialogue state updates and policy learning in a spoken dialogue system. The framework is based on...
Blaise Thomson, Steve Young
KES
2010
Springer
13 years 6 months ago
Group Formation for Collaboration in Exploratory Learning Using Group Technology Techniques
Exploratory Learning Environments (ELEs) allow learners to approach a problem in different ways; they are particularly suitable for ill-defined problems where knowledge is less str...
Mihaela Cocea, George D. Magoulas
CORR
2008
Springer
91views Education» more  CORR 2008»
13 years 8 months ago
Randomised Variable Neighbourhood Search for Multi Objective Optimisation
Various local search approaches have recently been applied to machine scheduling problems under multiple objectives. Their foremost consideration is the identification of the set ...
Martin Josef Geiger
GECCO
2007
Springer
175views Optimization» more  GECCO 2007»
14 years 2 months ago
An evolutionary multiobjective approach to design highly non-linear Boolean functions
The proliferation of all kinds of devices with different security requirements and constraints, and the arms-race nature of the security problem are increasingly demanding the de...
Hernán E. Aguirre, Hiroyuki Okazaki, Yasush...