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DEDS
2000
106views more  DEDS 2000»
15 years 6 months ago
Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization
Abstract. Ordinal Optimization has emerged as an efficient technique for simulation and optimization. Exponential convergence rates can be achieved in many cases. In this paper, we...
Chun-Hung Chen, Jianwu Lin, Enver Yücesan, St...
TEC
2002
117views more  TEC 2002»
15 years 6 months ago
A genetic algorithm for shortest path routing problem and the sizing of populations
This paper presents a genetic algorithmic approach to the shortest path (SP) routing problem. Variable-length chromosomes (strings) and their genes (parameters) have been used for ...
Chang Wook Ahn, Rudrapatna S. Ramakrishna
ML
2007
ACM
127views Machine Learning» more  ML 2007»
15 years 5 months ago
Density estimation with stagewise optimization of the empirical risk
We consider multivariate density estimation with identically distributed observations. We study a density estimator which is a convex combination of functions in a dictionary and ...
Jussi Klemelä
ML
2007
ACM
192views Machine Learning» more  ML 2007»
15 years 5 months ago
Annealing stochastic approximation Monte Carlo algorithm for neural network training
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Faming Liang
CVPR
2009
IEEE
16 years 1 months ago
On compositional Image Alignment, with an application to Active Appearance Models
Efficient and accurate fitting of Active Appearance Models (AAM) is a key requirement for many applications. The most efficient fitting algorithm today is Inverse Compositiona...
Brian Amberg, Andrew Blake, Thomas Vetter