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» Dynamic power management using machine learning
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IEEEVAST
2010
14 years 10 months ago
Anomaly detection in GPS data based on visual analytics
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...
Zicheng Liao, Yizhou Yu, Baoquan Chen
141
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JMS
2010
90views more  JMS 2010»
15 years 1 months ago
Prediction of Clinical Conditions after Coronary Bypass Surgery using Dynamic Data Analysis
This work studies the impact of using dynamic information as features in a machine learning algorithm for the prediction task of classifying critically ill patients in two classes ...
Kristien Van Loon, Fabián Güiza, Geert...
111
Voted
IPPS
2007
IEEE
15 years 9 months ago
Porting the GROMACS Molecular Dynamics Code to the Cell Processor
The Cell processor offers substantial computational power which can be effectively utilized only if application design and implementation are tuned to the Cell architecture. In th...
Stephen Olivier, Jan Prins, Jeff Derby, Ken V. Vu
121
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IJHCI
2010
144views more  IJHCI 2010»
15 years 1 months ago
Naturalistic Decision Making for Power System Operators
Motivation – Investigations of large-scale outages in the North American interconnected electric system often attribute the causes to three T’s: Trees, Training and Tools. To ...
Frank L. Greitzer, Robin Podmore, Marck Robinson, ...
127
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SAC
2006
ACM
15 years 9 months ago
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data
Traditional Data Mining and Knowledge Discovery algorithms assume free access to data, either at a centralized location or in federated form. Increasingly, privacy and security co...
Hwanjo Yu, Xiaoqian Jiang, Jaideep Vaidya