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» Dynamic power management using machine learning
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178
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BMCBI
2007
194views more  BMCBI 2007»
15 years 3 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
129
Voted
JMLR
2002
115views more  JMLR 2002»
15 years 3 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
96
Voted
JCM
2007
98views more  JCM 2007»
15 years 3 months ago
A Fault Tolerance Management Framework for Wireless Sensor Networks
Abstract— Wireless Sensor Networks (WSNs) have the potential of significantly enhancing our ability to monitor and interact with our physical environment. Realizing a faulttoler...
Iman Saleh, Mohamed Eltoweissy, Adnan Agbaria, Hes...
158
Voted
ICPR
2010
IEEE
15 years 1 months ago
Multiple Kernel Learning with High Order Kernels
Previous Multiple Kernel Learning approaches (MKL) employ different kernels by their linear combination. Though some improvements have been achieved over methods using single kerne...
Shuhui Wang, Shuqiang Jiang, Qingming Huang, Qi Ti...
206
Voted
DSOM
2007
Springer
15 years 9 months ago
Efficient Web Services Event Reporting and Notifications by Task Delegation
Web Services are an XML technology recently viewed as capable of being used for network management. A key aspect of WS in this domain is event reporting. WS-based research in this ...
Aimilios Chourmouziadis, George Pavlou