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130
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ECML
1993
Springer
15 years 7 months ago
Complexity Dimensions and Learnability
In machine learning theory, problem classes are distinguished because of di erences in complexity. In 6 , a stochastic model of learning from examples was introduced. This PAClear...
Shan-Hwei Nienhuys-Cheng, Mark Polman
114
Voted
COCO
1990
Springer
50views Algorithms» more  COCO 1990»
15 years 7 months ago
Width-Bounded Reducibility and Binary Search over Complexity Classes
d Abstract) Eric Allender Christopher Wilson Department of Computer Science Department of Computer Rutgers University and Information Science New Brunswick, NJ 08903, USA Universit...
Eric Allender, Christopher B. Wilson
115
Voted
IJHPCA
2006
125views more  IJHPCA 2006»
15 years 3 months ago
Complexity Results for Collective Communications on Heterogeneous Platforms
In this paper, we consider the communications involved in the execution of a complex application, deployed on a heterogeneous platform. Such applications extensively use macro-com...
Olivier Beaumont, Loris Marchal, Yves Robert
132
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ICASSP
2010
IEEE
15 years 1 months ago
Phase correction and denoising for ICA of complex FMRI data
Analysis of functional magnetic resonance imaging (fMRI) data in its native, complex form has been shown to increase the sensitivity of the analysis both for data driven technique...
Pedro Rodriguez, Tülay Adali, Hualiang Li, Ni...
153
Voted
CEC
2009
IEEE
15 years 1 months ago
Optimisation of the Beer Distribution Game with complex customer demand patterns
This paper examines a simulation of the Beer Distribution Game and a number of optimisation approaches to this game. This well known game was developed at MIT in the 1960s and has ...
Hongliang Liu, Enda Howley, Jim Duggan