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ICDM
2009
IEEE
149views Data Mining» more  ICDM 2009»
15 years 9 months ago
Accelerated Gradient Method for Multi-task Sparse Learning Problem
—Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than...
Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbon...
EOR
2006
73views more  EOR 2006»
15 years 3 months ago
Path relinking and GRG for artificial neural networks
Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...
Abdellah El-Fallahi, Rafael Martí, Leon S. ...
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
15 years 8 months ago
On the complexity of hierarchical problem solving
Competent Genetic Algorithms can efficiently address problems in which the linkage between variables is limited to a small order k. Problems with higher order dependencies can onl...
Edwin D. de Jong, Richard A. Watson, Dirk Thierens
PPSN
1998
Springer
15 years 7 months ago
Genetic Algorithms for the Multiple Container Packing Problem
This paper presents two variants of Genetic Algorithms (GAs) for solving the Multiple Container Packing Problem (MCPP), which is a combinatorial optimization problem comprising sim...
Günther R. Raidl, Gabriele Kodydek
SC
2004
ACM
15 years 8 months ago
Ultrascalable Implicit Finite Element Analyses in Solid Mechanics with over a Half a Billion Degrees of Freedom
The solution of elliptic diffusion operators is the computational bottleneck in many simulations in a wide range of engineering and scientific disciplines. We present a truly sca...
Mark F. Adams, Harun H. Bayraktar, Tony M. Keaveny...