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ECML
2007
Springer
15 years 6 months 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
CEC
2010
IEEE
15 years 27 days ago
Optimization of biogas production with computational intelligence a comparative study
Biogas plants are reliable sources of energy based on renewable materials including organic waste. There is a high demand from industry to run these plants efficiently, which lead...
Jörg Ziegenhirt, Thomas Bartz-Beielstein, Oli...
PPOPP
2009
ACM
16 years 9 days ago
Comparability graph coloring for optimizing utilization of stream register files in stream processors
A stream processor executes an application that has been decomposed into a sequence of kernels that operate on streams of data elements. During the execution of a kernel, all stre...
Xuejun Yang, Li Wang, Jingling Xue, Yu Deng, Ying ...
AUTOMATICA
2010
99views more  AUTOMATICA 2010»
14 years 12 months ago
Two nonlinear optimization methods for black box identification compared
: In this paper, two nonlinear optimization methods for the identification of nonlinear systems are compared. Both methods estimate all the parameters of a polynomial nonlinear sta...
Anne Van Mulders, Johan Schoukens, Marnix Volckaer...
GECCO
2010
Springer
222views Optimization» more  GECCO 2010»
14 years 10 months ago
Black-box optimization benchmarking of NEWUOA compared to BIPOP-CMA-ES: on the BBOB noiseless testbed
In this paper, the performances of the NEW Unconstrained Optimization Algorithm (NEWUOA) on some noiseless functions are compared to those of the BI-POPulation Covariance Matrix A...
Nikolaus Hansen, Raymond Ros