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» Performance comparison of memetic algorithms
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118
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ECML
2005
Springer
15 years 9 months ago
Error-Sensitive Grading for Model Combination
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Surendra K. Singhi, Huan Liu
146
Voted
ISSS
1997
IEEE
142views Hardware» more  ISSS 1997»
15 years 8 months ago
Optimization Method for Broadband Modem FIR Filter Design using Common Subexpression Elimination
- An approach for broadband modem FIR filter design optimization is presented. It addresses the minimization of the number of addersubtractors used in the hardware implementation o...
Robert Pasko, Patrick Schaumont, Veerle Derudder, ...
110
Voted
CSDA
2007
109views more  CSDA 2007»
15 years 3 months ago
Improving the computation of censored quantile regressions
Abstract. Censored quantile regressions (CQR) are a valuable tool in economics and engineering. The computation of estimators is highly complex and the performance of standard meth...
Bernd Fitzenberger, Peter Winker
LISP
2008
104views more  LISP 2008»
15 years 3 months ago
Flattening tuples in an SSA intermediate representation
For functional programs, unboxing aggregate data structures such as tuples removes memory indirections and frees dead components of the decoupled structures. To explore the consequ...
Lukasz Ziarek, Stephen Weeks, Suresh Jagannathan
NCA
2008
IEEE
15 years 3 months ago
Neurodynamic programming: a case study of the traveling salesman problem
The paper focuses on the study of solving the large-scale traveling salesman problem (TSP) based on neurodynamic programming. From this perspective, two methods, temporal differenc...
Jia Ma, Tao Yang, Zeng-Guang Hou, Min Tan, Derong ...