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» Simulation Optimization: Methods and Applications
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WSC
2000
14 years 11 months ago
A framework for Response Surface Methodology for simulation optimization
We develop a framework for automated optimization of stochastic simulation models using Response Surface Methodology. The framework is especially intended for simulation models wh...
H. Gonda Neddermeijer, Gerrit J. van Oortmarssen, ...
NIPS
2007
14 years 11 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
WSC
2008
15 years 1 days ago
Towards applications of particle filters in wildfire spread simulation
Wildfire propagation is a complex process influenced by many factors. Simulation models of wildfire spread, such as DEVS-FIRE, are important tools for studying fire behavior. This...
Feng Gu, Xiaolin Hu
ICCS
2004
Springer
15 years 3 months ago
Data Driven Design Optimization Methodology Development and Application
The Data Driven Design Optimization Methodology (DDDOM) is a Dynamic Data Driven Application System (DDDAS) developed for engineering design optimization. The DDDOM synergizes expe...
H. Zhao, D. Knight, E. Taskinoglu, V. Jovanovic
IJON
2011
186views more  IJON 2011»
14 years 1 months ago
Discriminative structure selection method of Gaussian Mixture Models with its application to handwritten digit recognition
, Yunde Jia Model structure selection is currently an open problem in modeling data via Gaussian Mixture Models (GMM). This paper proposes a discriminative method to select GMM st...
Xuefeng Chen, Xiabi Liu, Yunde Jia