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» Regularization and feature selection for networked features
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153
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APNOMS
2008
Springer
15 years 5 months ago
Empirical Analysis of Application-Level Traffic Classification Using Supervised Machine Learning
Accurate application traffic classification and identification are important for network monitoring and analysis. The accuracy of traditional Internet application traffic classific...
Byungchul Park, Young J. Won, Mi-Jung Choi, Myung-...
124
Voted
EUROS
2008
113views Robotics» more  EUROS 2008»
15 years 5 months ago
Measuring Motion Expressiveness in Wheeled Mobile Robots
This paper addresses the measurement of motion expressiveness in wheeled mobile robots. A neural network based supervised learning strategy is proposed as a method to fuse informat...
João Sequeira
137
Voted
DCOSS
2011
Springer
14 years 3 months ago
On sensor selection in linked information networks
—Sensor networks are often redundant by design; this is often done in order to achieve reliability in information processing. In many cases, the redundancy relationships between ...
Charu C. Aggarwal, Amotz Bar-Noy, Simon Shamoun
129
Voted
BMCBI
2004
133views more  BMCBI 2004»
15 years 3 months ago
Artificial neural network approach for selection of susceptible single nucleotide polymorphisms and construction of prediction m
Background: Screening of various gene markers such as single nucleotide polymorphism (SNP) and correlation between these markers and development of multifactorial disease have pre...
Yasuyuki Tomita, Shuta Tomida, Yuko Hasegawa, Yoic...
164
Voted
SSPR
2004
Springer
15 years 9 months ago
Optimizing Classification Ensembles via a Genetic Algorithm for a Web-Based Educational System
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...