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» A framework for comparing models of computation
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SECON
2010
IEEE
15 years 4 months ago
Cloudy Computing: Leveraging Weather Forecasts in Energy Harvesting Sensor Systems
To sustain perpetual operation, systems that harvest environmental energy must carefully regulate their usage to satisfy their demand. Regulating energy usage is challenging if a s...
Navin Sharma, Jeremy Gummeson, David Irwin, Prasha...
COMPUTER
2000
128views more  COMPUTER 2000»
15 years 6 months ago
What's Ahead for Embedded Software?
hysical world. How do you adapt software abstractions designed merely to transform data to meet requirements like real-time constraints, concurrency, and stringent safety considera...
Edward A. Lee
IPPS
2003
IEEE
15 years 12 months ago
A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
Xiaogang Li, Ruoming Jin, Gagan Agrawal
IJAR
2010
130views more  IJAR 2010»
15 years 5 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
ICDM
2006
IEEE
146views Data Mining» more  ICDM 2006»
16 years 21 days ago
Boosting Kernel Models for Regression
This paper proposes a general boosting framework for combining multiple kernel models in the context of both classification and regression problems. Our main approach is built on...
Ping Sun, Xin Yao