Sciweavers

20 search results - page 1 / 4
» A Nonparametric Approach to Noisy and Costly Optimization
Sort
View
ICML
2000
IEEE
14 years 5 months ago
A Nonparametric Approach to Noisy and Costly Optimization
This paper describes Pairwise Bisection: a nonparametric approach to optimizing a noisy function with few function evaluations. The algorithm uses nonparametric reasoning about si...
Brigham S. Anderson, Andrew W. Moore, David Cohn
ISCI
2007
105views more  ISCI 2007»
13 years 4 months ago
Cost modeling of spatial operators using non-parametric regression
In an object-relational database management system, a query optimizer requires users to provide cost models of userdefined functions. The traditional approach is analytical, that...
Songtao Jiang, Byung Suk Lee, Zhen He
CVPR
2008
IEEE
14 years 6 months ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
13 years 10 months ago
Fitness inheritance for noisy evolutionary multi-objective optimization
This paper compares the performance of anti-noise methods, particularly probabilistic and re-sampling methods, using NSGA2. It then proposes a computationally less expensive appro...
Lam Thu Bui, Hussein A. Abbass, Daryl Essam
ICRA
2008
IEEE
134views Robotics» more  ICRA 2008»
13 years 11 months ago
An optimal filtering algorithm for non-parametric observation models in robot localization
— The lack of a parameterized observation model in robot localization using occupancy grids requires the application of sampling-based methods, or particle filters. This work ad...
Jose-Luis Blanco, Javier Gonzalez, Juan-Antonio Fe...