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» On the Noise Model of Support Vector Machines Regression
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ROMAN
2007
IEEE
176views Robotics» more  ROMAN 2007»
14 years 3 months ago
Action Recognition and Understanding using Motor Primitives
— We investigate modeling and recognition of arm manipulation actions of different levels of complexity. To model the process, we are using a combination of discriminative suppor...
Ville Kyrki, Isabel Serrano Vicente, Danica Kragic...
CN
2010
110views more  CN 2010»
13 years 9 months ago
End-to-end quality of service seen by applications: A statistical learning approach
The focus of this work is on the estimation of quality of service (QoS) parameters seen by an application. Our proposal is based on end-to-end active measurements and statistical ...
Pablo Belzarena, Laura Aspirot
JMLR
2010
135views more  JMLR 2010»
13 years 7 months ago
Bundle Methods for Regularized Risk Minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smol...
BMCBI
2010
98views more  BMCBI 2010»
13 years 9 months ago
Learning to predict expression efficacy of vectors in recombinant protein production
Background: Recombinant protein production is a useful biotechnology to produce a large quantity of highly soluble proteins. Currently, the most widely used production system is t...
Wen-Ching Chan, Po-Huang Liang, Yan-Ping Shih, Uen...
HPCA
2008
IEEE
14 years 9 months ago
DeCoR: A Delayed Commit and Rollback mechanism for handling inductive noise in processors
Increases in peak current draw and reductions in the operating voltages of processors continue to amplify the importance of dealing with voltage fluctuations in processors. Noise-...
Meeta Sharma Gupta, Krishna K. Rangan, Michael D. ...