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» On Computing Functions with Uncertainty
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MP
2006
107views more  MP 2006»
13 years 9 months ago
Convergence theory for nonconvex stochastic programming with an application to mixed logit
Monte Carlo methods have been used extensively in the area of stochastic programming. As with other methods that involve a level of uncertainty, theoretical properties are required...
Fabian Bastin, Cinzia Cirillo, Philippe L. Toint
CORR
2011
Springer
175views Education» more  CORR 2011»
13 years 4 months ago
A Novel Probabilistic Pruning Approach to Speed Up Similarity Queries in Uncertain Databases
Abstract— In this paper, we propose a novel, effective and efficient probabilistic pruning criterion for probabilistic similarity queries on uncertain data. Our approach support...
Thomas Bernecker, Tobias Emrich, Hans-Peter Kriege...
CIMCA
2008
IEEE
14 years 3 months ago
Tree Exploration for Bayesian RL Exploration
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
Christos Dimitrakakis
MOBIHOC
2000
ACM
14 years 1 months ago
Proximity awareness and fast connection establishment in Bluetooth
Bluetooth is a promising new technology that enables portable devices to form short-range wireless ad hoc networks and relies on spread spectrum frequency hopping (FH) techniques f...
Theodoros Salonidis, Pravin Bhagwat, Leandros Tass...
IEEEICCI
2002
IEEE
14 years 2 months ago
Computational Intelligence for Medical Knowledge Acquisition with Application to Glaucoma
This paper presents an approach that integrates computational intelligence/soft computing paradigms with clinical investigation methods and knowledge. Computational intelligence m...
Nicolae Varachiu, Cynthia Karanicolas, Mihaela Uli...