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IJKESDP
2010
94views more  IJKESDP 2010»
14 years 6 months ago
Neuro-fuzzy-combiner: an effective multiple classifier system
: A neuro-fuzzy-combiner (NFC) is proposed to design an efficient multiple classifier system (MCS) with an aim to have an effective solution scheme for difficult classification pro...
Ashish Ghosh, B. Uma Shankar, Lorenzo Bruzzone, Sa...
BMCBI
2006
123views more  BMCBI 2006»
14 years 11 months ago
Computational models with thermodynamic and composition features improve siRNA design
Background: Small interfering RNAs (siRNAs) have become an important tool in cell and molecular biology. Reliable design of siRNA molecules is essential for the needs of large fun...
Svetlana A. Shabalina, Alexey N. Spiridonov, Aleks...
ANNS
2007
15 years 1 months ago
Direct and indirect classification of high-frequency LNA performance using machine learning techniques
The task of determining low noise amplifier (LNA) high-frequency performance in functional testing is as challenging as designing the circuit itself due to the difficulties associa...
Peter C. Hung, Seán F. McLoone, Magdalena S...
IWANN
2009
Springer
15 years 6 months ago
TEMMAS: The Electricity Market Multi-Agent Simulator
—This paper describes a multi-agent based simulation (MABS) framework to construct an artificial electric power market populated with learning agents. The artificial market, na...
Paulo Trigo, Paulo Marques, Helder Coelho
IJCNN
2008
IEEE
15 years 6 months ago
Support vector machines and dynamic time warping for time series
— Effective use of support vector machines (SVMs) in classification necessitates the appropriate choice of a kernel. Designing problem specific kernels involves the definition...
Steinn Gudmundsson, Thomas Philip Runarsson, Sven ...