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» Obtaining Best Parameter Values for Accurate Classification
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PE
2008
Springer
106views Optimization» more  PE 2008»
13 years 7 months ago
Heavy traffic analysis of polling models by mean value analysis
In this paper we present a new approach to derive heavy-traffic asymptotics for polling models. We consider the classical cyclic polling model with exhaustive or gated service at ...
Robert D. van der Mei, Erik M. M. Winands
ENGL
2006
99views more  ENGL 2006»
13 years 7 months ago
A Patient Specific Neural Networks (MLP) for Optimization of Fuzzy Outputs in Classification of Epilepsy Risk Levels from EEG Si
In recent years Neural Networks have been widely used as pattern and statistical classifiers in bio medical engineering. Most research to date using hybrid systems (Fuzzy-Neuro) fo...
R. Sukanesh, R. Harikumar
CEC
2007
IEEE
13 years 11 months ago
Evolving hypernetworks for pattern classification
Abstract-- Hypernetworks consist of a large number of hyperedges that represent higher-order features sampled from training patterns. Evolutionary algorithms have been used as a me...
Joo-Kyung Kim, Byoung-Tak Zhang
BMCBI
2008
99views more  BMCBI 2008»
13 years 7 months ago
A new real-time PCR method to overcome significant quantitative inaccuracy due to slight amplification inhibition
Background: Real-time PCR analysis is a sensitive DNA quantification technique that has recently gained considerable attention in biotechnology, microbiology and molecular diagnos...
Michele Guescini, Davide Sisti, Marco B. L. Rocchi...
ETRA
2010
ACM
213views Biometrics» more  ETRA 2010»
13 years 8 months ago
Qualitative and quantitative scoring and evaluation of the eye movement classification algorithms
This paper presents a set of qualitative and quantitative scores designed to assess performance of any eye movement classification algorithm. The scores are designed to provide a ...
Oleg V. Komogortsev, Sampath Jayarathna, Do Hyong ...