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ICTAI
2006
IEEE
15 years 6 months ago
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
ICASSP
2008
IEEE
15 years 7 months ago
Factorized variational approximations for acoustic multi source localization
Estimation based on received signal strength (RSS) is crucial in sensor networks for sensor localization, target tracking, etc. In this paper, we present a Gaussian approximation ...
Volkan Cevher, Aswin C. Sankaranarayanan, Rama Che...
89
Voted
AMC
2006
84views more  AMC 2006»
15 years 26 days ago
Estimation of parameters in carbon sequestration models from net ecosystem exchange data
The use of net ecosystem exchange (NEE) data to estimate carbon transfer coefficients is investigated in the context of a deterministic compartmental carbon sequestration system. ...
Luther White, Frances White, Yiqi Luo, Tao Xu
ICS
2005
Tsinghua U.
15 years 6 months ago
What is worth learning from parallel workloads?: a user and session based analysis
Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
Julia Zilber, Ofer Amit, David Talby
106
Voted
CISIS
2008
IEEE
15 years 7 months ago
Hybrid Performance Modeling and Prediction of Large-Scale Computing Systems
Abstract—Performance is a key feature of large-scale computing systems. However, the achieved performance when a certain program is executed is significantly lower than the maxi...
Sabri Pllana, Siegfried Benkner, Fatos Xhafa, Leon...