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» A Guided Monte Carlo Approach to Optimization Problems
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PPSN
2004
Springer
15 years 3 months ago
Optimization via Parameter Mapping with Genetic Programming
Abstract. This paper describes a new approach for parameter optimization that uses a novel representation for the parameters to be optimized. By using genetic programming, the new ...
João Carlos Figueira Pujol, Riccardo Poli
ALGORITHMICA
2002
93views more  ALGORITHMICA 2002»
14 years 10 months ago
Improved Algorithms for Uniform Partitions of Points
We consider the following one- and two-dimensional bucketing problems: Given a set S of n points in R1 or R2 and a positive integer b, distribute the points of S into b equal-size ...
Pankaj K. Agarwal, Binay K. Bhattacharya, Sandeep ...
UAI
2000
14 years 11 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
CCGRID
2007
IEEE
15 years 2 months ago
STORM: An Approach to Database Storage Management in Clustered Storage Environments
Database storage management in clustered storage environments is a manual, time-consuming, and error-prone task. Such management involves regular movement of database objects acro...
Kaushik Dutta, Raju Rangaswami
ICCV
2009
IEEE
16 years 3 months ago
Time-Constrained Photography
Capturing multiple photos at different focus settings is a powerful approach for reducing optical blur, but how many photos should we capture within a fixed time budget? We develop...
Samuel W. Hasinoff, Kiriakos N. Kutulakos, Frédo ...