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106
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GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
15 years 9 months ago
Markov chain models of bare-bones particle swarm optimizers
We apply a novel theoretical approach to better understand the behaviour of different types of bare-bones PSOs. It avoids many common but unrealistic assumptions often used in an...
Riccardo Poli, William B. Langdon
241
Voted
ICDE
2002
IEEE
204views Database» more  ICDE 2002»
16 years 4 months ago
Approximating a Data Stream for Querying and Estimation: Algorithms and Performance Evaluation
Obtaining fast and good quality approximations to data distributions is a problem of central interest to database management. A variety of popular database applications including,...
Sudipto Guha, Nick Koudas
124
Voted
PODS
2008
ACM
221views Database» more  PODS 2008»
16 years 3 months ago
A generic flow algorithm for shared filter ordering problems
We consider a fundamental flow maximization problem that arises during the evaluation of multiple overlapping queries defined on a data stream, in a heterogenous parallel environm...
Zhen Liu, Srinivasan Parthasarathy 0002, Anand Ran...
SIGSOFT
2003
ACM
16 years 4 months ago
Towards scalable compositional analysis by refactoring design models
Automated finite-state verification techniques have matured considerably in the past several years, but state-space explosion remains an obstacle to their use. Theoretical lower b...
Yung-Pin Cheng, Michal Young, Che-Ling Huang, Chia...
144
Voted
IJCAI
2001
15 years 4 months ago
Approximate inference for first-order probabilistic languages
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
Hanna Pasula, Stuart J. Russell