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ECML
2007
Springer
16 years 19 days ago
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
Mark Schmidt, Glenn Fung, Rómer Rosales
GECCO
2005
Springer
107views Optimization» more  GECCO 2005»
16 years 5 hour ago
Minimum spanning trees made easier via multi-objective optimization
Many real-world problems are multi-objective optimization problems and evolutionary algorithms are quite successful on such problems. Since the task is to compute or approximate t...
Frank Neumann, Ingo Wegener
HEURISTICS
2006
197views more  HEURISTICS 2006»
15 years 6 months ago
Bucket elimination for multiobjective optimization problems
Multiobjective optimization deals with problems involving multiple measures of performance that should be optimized simultaneously. In this paper we extend bucket elimination (BE),...
Emma Rollon, Javier Larrosa
SIAMCO
2008
70views more  SIAMCO 2008»
15 years 6 months ago
Duality in Linear Programming Problems Related to Deterministic Long Run Average Problems of Optimal Control
It has been established recently that, under mild conditions, deterministic long run average problems of optimal control are "asymptotically equivalent" to infinite-dimen...
Luke Finlay, Vladimir Gaitsgory, Ivan Lebedev
TON
2008
133views more  TON 2008»
15 years 6 months ago
Optimal routing and data aggregation for maximizing lifetime of wireless sensor networks
An optimal routing and data aggregation scheme for wireless sensor networks is proposed in this paper. The objective is to maximize the network lifetime by jointly optimizing data ...
Cunqing Hua, Tak-Shing Peter Yum