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2005
ACM
15 years 5 months ago
Bridging the Macro and Micro: A Computing Intensive Earthquake Study Using Discovery Net
We present the development and use of a novel distributed geohazard modeling environment for the analysis and interpretation of large scale earthquake data sets. Our work demonstr...
Yike Guo, Jian Guo Liu, Moustafa Ghanem, Kyran Mis...
BMCBI
2008
152views more  BMCBI 2008»
14 years 11 months ago
Predicting biological system objectives de novo from internal state measurements
Background: Optimization theory has been applied to complex biological systems to interrogate network properties and develop and refine metabolic engineering strategies. For examp...
Erwin P. Gianchandani, Matthew A. Oberhardt, Antho...
126
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CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 3 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
CCGRID
2009
IEEE
15 years 6 months ago
The Eucalyptus Open-Source Cloud-Computing System
Cloud computing systems fundamentally provide access to large pools of data and computational resources through a variety of interfaces similar in spirit to existing grid and HPC ...
Daniel Nurmi, Richard Wolski, Chris Grzegorczyk, G...
ESANN
2007
15 years 1 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann