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» Dynamic power management using machine learning
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ICML
2004
IEEE
16 years 4 months ago
Parameter space exploration with Gaussian process trees
Computer experiments often require dense sweeps over input parameters to obtain a qualitative understanding of their response. Such sweeps can be prohibitively expensive, and are ...
Robert B. Gramacy, Herbert K. H. Lee, William G. M...
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 9 months ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint
DAC
2002
ACM
16 years 4 months ago
Scheduler-based DRAM energy management
Previous work on DRAM power-mode management focused on hardware-based techniques and compiler-directed schemes to explicitly transition unused memory modules to low-power operatin...
Victor Delaluz, Anand Sivasubramaniam, Mahmut T. K...
130
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MICCAI
2008
Springer
16 years 4 months ago
Dynamic Model-Driven Quantitative and Visual Evaluation of the Aortic Valve from 4D CT
Aortic valve disease is an important cardio-vascular disorder, which affects 2.5% of the global population and often requires elaborate clinical management. Experts agree that visu...
Razvan Ioan Ionasec, Bogdan Georgescu, Eva Gassn...
ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
15 years 9 months ago
Mining Complex Time-Series Data by Learning Markovian Models
In this paper, we propose a novel and general approach for time-series data mining. As an alternative to traditional ways of designing specific algorithm to mine certain kind of ...
Yi Wang, Lizhu Zhou, Jianhua Feng, Jianyong Wang, ...