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ECML
2003
Springer
15 years 5 months ago
Combined Optimization of Feature Selection and Algorithm Parameters in Machine Learning of Language
Comparative machine learning experiments have become an important methodology in empirical approaches to natural language processing (i) to investigate which machine learning algor...
Walter Daelemans, Véronique Hoste, Fien De ...
CORR
2007
Springer
57views Education» more  CORR 2007»
14 years 12 months ago
Optimization of Piezoelectric Electrical Generators Powered by Random Vibrations
This paper compares the performances of a vibrationpowered electrical generators using PZT piezoelectric ceramic associated to two different power conditioning circuits. A new app...
E. Lefeuvre, A. Badel, C. Richard, L. Petit, D. Gu...
BMCBI
2006
146views more  BMCBI 2006»
14 years 12 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
ICCAD
1999
IEEE
75views Hardware» more  ICCAD 1999»
15 years 4 months ago
Functional timing optimization
A common approach to performance optimization of circuits focuses on re-synthesis to reduce the length of all paths greater than the desired delay . We describe a new delay optimi...
Alexander Saldanha
IJCNN
2006
IEEE
15 years 5 months ago
Design of Optimal PI Controllers for Doubly Fed Induction Generators Driven by Wind Turbines Using Particle Swarm Optimization
– When subjected to transient disturbances in the power grid, the variable frequency converter (VFC) is the most sensitive part in the variable-speed wind turbine generator syste...
Wei Qiao, Ganesh K. Venayagamoorthy, Ronald G. Har...