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SYNASC
2006
IEEE
95views Algorithms» more  SYNASC 2006»
15 years 7 months ago
Evolutionary Support Vector Regression Machines
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
Ruxandra Stoean, Dumitru Dumitrescu, Mike Preuss, ...
118
Voted
CORR
2010
Springer
149views Education» more  CORR 2010»
15 years 1 months ago
Using Rough Set and Support Vector Machine for Network Intrusion Detection
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...
Rung Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh
115
Voted
IJON
2010
148views more  IJON 2010»
15 years 9 days ago
Modeling radiation-induced lung injury risk with an ensemble of support vector machines
Radiation-induced lung injury, radiation pneumonitis (RP), is a potentially fatal side-effect of thoracic radiation therapy. In this work, using an ensemble of support vector mac...
Todd W. Schiller, Yixin Chen, Issam El-Naqa, Josep...
119
Voted
DAC
2003
ACM
16 years 2 months ago
Support vector machines for analog circuit performance representation
The use of Support Vector Machines (SVMs) to represent the performance space of analog circuits is explored. In abstract terms, an analog circuit maps a set of input design parame...
Fernando De Bernardinis, Michael I. Jordan, Albert...
DATE
2009
IEEE
95views Hardware» more  DATE 2009»
15 years 8 months ago
Machine learning-based volume diagnosis
In this paper, a novel diagnosis method is proposed. The proposed technique uses machine learning techniques instead of traditional cause-effect and/or effect-cause analysis. The ...
Seongmoon Wang, Wenlong Wei