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» Efficient and Flexible Value Sampling
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CEC
2005
IEEE
15 years 3 months ago
Efficient global optimization (EGO) for multi-objective problem and data mining
In this study, a surrogate model is applied to multi-objective aerodynamic optimization design. For the balanced exploration and exploitation with the surrogate model, objective fu...
Shinkyu Jeong, Shigeru Obayashi
JMLR
2008
104views more  JMLR 2008»
14 years 9 months ago
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
In this paper, the naive credal classifier, which is a set-valued counterpart of naive Bayes, is extended to a general and flexible treatment of incomplete data, yielding a new cl...
Giorgio Corani, Marco Zaffalon
TOG
2008
140views more  TOG 2008»
14 years 9 months ago
Multidimensional adaptive sampling and reconstruction for ray tracing
We present a new adaptive sampling strategy for ray tracing. Our technique is specifically designed to handle multidimensional sample domains, and it is well suited for efficientl...
Toshiya Hachisuka, Wojciech Jarosz, Richard Peter ...
WSC
1997
14 years 11 months ago
Using SiMPLE++ for Improved Modeling Efficiencies and Extending Model Life Cycles
SiMPLE++ is an object-oriented simulation environment for modeling all types of manufacturing, logistics and service systems. AESOP’s SiMPLE++ is a fully object-oriented impleme...
David R. Kalasky, Gerald A. Levasseur
ICIP
2006
IEEE
15 years 11 months ago
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar