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131
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COR
2010
129views more  COR 2010»
15 years 2 months ago
Flexible solutions in disjunctive scheduling: General formulation and study of the flow-shop case
We consider the context of decision support for schedule modification after the computation off-line of a predictive optimal (or near optimal) schedule. The purpose of this work i...
Mohamed Ali Aloulou, Christian Artigues
124
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CAD
2007
Springer
15 years 3 months ago
Computing general geometric structures on surfaces using Ricci flow
Systematically generalizing planar geometric algorithms to manifold domains is of fundamental importance in computer aided design field. This paper proposes a novel theoretic fra...
Miao Jin, Feng Luo 0002, Xianfeng David Gu
ICPR
2000
IEEE
16 years 4 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes
ICDM
2008
IEEE
97views Data Mining» more  ICDM 2008»
15 years 10 months ago
Semi-supervised Learning from General Unlabeled Data
We consider the problem of Semi-supervised Learning (SSL) from general unlabeled data, which may contain irrelevant samples. Within the binary setting, our model manages to better...
Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. L...
132
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INFOCOM
2006
IEEE
15 years 9 months ago
Generalized Proportional Fair Scheduling in Third Generation Wireless Data Networks
—In 3G data networks, network operators would like to balance system throughput while serving users in a fair manner. This is achieved using the notion of proportional fairness. ...
Tian Bu, L. Li, Ramachandran Ramjee