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» Embedding Heterogeneous Data Using Statistical Models
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IWCLS
2007
Springer
14 years 1 months ago
A Principled Foundation for LCS
In this paper we explicitly identify the probabilistic model underlying LCS by linking it to a generalisation of the common Mixture-of-Experts model. Having an explicit representa...
Jan Drugowitsch, Alwyn Barry
ICDCS
2008
IEEE
14 years 2 months ago
Data Estimation in Sensor Networks Using Physical and Statistical Methodologies
Wireless Sensor Networks (WSNs) are employed in many applications in order to collect data. One key challenge is to minimize energy consumption to prolong network lifetime. A sche...
Yingshu Li, Chunyu Ai, Wiwek P. Deshmukh, Yiwei Wu
CIDM
2007
IEEE
14 years 2 months ago
Data Mining of MISR Aerosol Product using Spatial Statistics
— In climate models, aerosol forcing is the major source of uncertainty in climate forcing, over the industrial period. To reduce this uncertainty, instruments on satellites have...
Tao Shi, Noel Cressie
IFIP
2010
Springer
13 years 2 months ago
Rialto 2.0: A Language for Heterogeneous Computations
Modern embedded systems are often heterogeneous in that their design requires several description paradigms, based on different models of computation and concurrency (MoCCs). In th...
Johan Lilius, Andreas Dahlin, Lionel Morel
WSC
2004
13 years 9 months ago
Input Modeling Using Quantile Statistical Methods
This paper applies quantile data analysis to input modeling in simulation. We introduce the use of QIQ plots to identify suitable distributions fitting the data and comparison dis...
Abhishek Gupta, Emanuel Parzen