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» A Bayesian Approach to Tackling Hard Computational Problems
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ICASSP
2011
IEEE
13 years 2 months ago
On selecting the hyperparameters of the DPM models for the density estimation of observation errors
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
Asma Rabaoui, Nicolas Viandier, Juliette Marais, E...
GECCO
2010
Springer
207views Optimization» more  GECCO 2010»
14 years 3 months ago
Generalized crowding for genetic algorithms
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
Severino F. Galán, Ole J. Mengshoel
CVPR
2010
IEEE
14 years 2 months ago
Integrated Pedestrian Classification and Orientation Estimation
This paper presents a novel approach to single-frame pedestrian classification and orientation estimation. Unlike previous work which addressed classification and orientation sepa...
Markus Enzweiler, Dariu Gavrila
SIGECOM
2011
ACM
203views ECommerce» more  SIGECOM 2011»
13 years 1 months ago
Polynomial-time computation of exact correlated equilibrium in compact games
In a landmark paper, Papadimitriou and Roughgarden [2008] described a polynomial-time algorithm (“Ellipsoid Against Hope”) for computing sample correlated equilibria of concis...
Albert Xin Jiang, Kevin Leyton-Brown
ICANNGA
2009
Springer
212views Algorithms» more  ICANNGA 2009»
14 years 5 months ago
Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Ivo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric L...