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» Analysing Probabilistically Constrained Optimism
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GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
15 years 2 months ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf
GRAMMARS
2002
119views more  GRAMMARS 2002»
14 years 9 months ago
Computational Complexity of Probabilistic Disambiguation
Recent models of natural language processing employ statistical reasoning for dealing with the ambiguity of formal grammars. In this approach, statistics, concerning the various li...
Khalil Sima'an
FORMATS
2006
Springer
15 years 1 months ago
Extended Directed Search for Probabilistic Timed Reachability
Current numerical model checkers for stochastic systems can efficiently analyse stochastic models. However, the fact that they are unable to provide debugging information constrain...
Husain Aljazzar, Stefan Leue
DMSN
2008
ACM
14 years 11 months ago
Probabilistic processing of interval-valued sensor data
When dealing with sensors with different time resolutions, it is desirable to model a sensor reading as pertaining to a time interval rather than a unit of time. We introduce two ...
Sander Evers, Maarten M. Fokkinga, Peter M. G. Ape...
MOBIHOC
2003
ACM
15 years 9 months ago
Lightweight sensing and communication protocols for target enumeration and aggregation
The development of lightweight sensing and communication protocols is a key requirement for designing resource constrained sensor networks. This paper introduces a set of efficien...
Qing Fang, Feng Zhao, Leonidas J. Guibas