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» Dynamically Adapting Kernels in Support Vector Machines
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137
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ICDM
2005
IEEE
179views Data Mining» more  ICDM 2005»
15 years 9 months ago
Bagging with Adaptive Costs
Ensemble methods have proved to be highly effective in improving the performance of base learners under most circumstances. In this paper, we propose a new algorithm that combine...
Yi Zhang, W. Nick Street
141
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ICSE
2004
IEEE-ACM
16 years 3 months ago
Finding Latent Code Errors via Machine Learning over Program Executions
This paper proposes a technique for identifying program properties that indicate errors. The technique generates machine learning models of program properties known to result from...
Yuriy Brun, Michael D. Ernst
166
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ISF
2010
164views more  ISF 2010»
15 years 28 days ago
An SVM-based machine learning method for accurate internet traffic classification
Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
Ruixi Yuan, Zhu Li, Xiaohong Guan, Li Xu
154
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BMCBI
2007
153views more  BMCBI 2007»
15 years 3 months ago
Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis
Background: A nanopore detector has a nanometer-scale trans-membrane channel across which a potential difference is established, resulting in an ionic current through the channel ...
Matthew Landry, Stephen Winters-Hilt
124
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ICRA
2007
IEEE
164views Robotics» more  ICRA 2007»
15 years 10 months ago
Affect Recognition in Robot Assisted Rehabilitation of Children with Autism Spectrum Disorder
–This paper presents a novel affect-sensitive human-robot interaction framework for rehabilitation of children with autism spectrum disorder (ASD). The overall aim is to enable t...
Changchun Liu, Karla Conn, Nilanjan Sarkar, Wendy ...