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» SNPs Problems, Complexity, and Algorithms
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137
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DAGSTUHL
2004
15 years 4 months ago
Learning with Local Models
Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
Stefan Rüping
127
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CEC
2010
IEEE
15 years 4 months ago
A parallel framework for multi-objective evolutionary optimization
This work focuses on the development of a parallel framework method to improve the effectiveness and the efficiency of the obtained solutions by Multi-objective Evolutionary Algori...
Dipankar Dasgupta, David Camilo Becerra Romero, Al...
88
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JPDC
2006
94views more  JPDC 2006»
15 years 3 months ago
Exchanging messages of different sizes
This paper deals with the study of the exchange of messages among a set of processors linked through an interconnection network. We focus on general, non-uniform versions of messa...
Alfredo Goldman, Joseph G. Peters, Denis Trystram
WDAG
2010
Springer
183views Algorithms» more  WDAG 2010»
15 years 1 months ago
What Is the Use of Collision Detection (in Wireless Networks)?
We show that the asymptotic gain in the time complexity when using collision detection depends heavily on the task by investigating three prominent problems for wireless networks,...
Johannes Schneider, Roger Wattenhofer
120
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CORR
2010
Springer
92views Education» more  CORR 2010»
15 years 7 days ago
Regression on fixed-rank positive semidefinite matrices: a Riemannian approach
The paper addresses the problem of learning a regression model parameterized by a fixed-rank positive semidefinite matrix. The focus is on the nonlinear nature of the search space...
Gilles Meyer, Silvere Bonnabel, Rodolphe Sepulchre