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SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 7 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
120
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CONCUR
2008
Springer
15 years 6 months ago
Smyle: A Tool for Synthesizing Distributed Models from Scenarios by Learning
Benedikt Bollig, Joost-Pieter Katoen, Carsten Kern...
ATAL
2008
Springer
15 years 6 months ago
No-regret learning and a mechanism for distributed multiagent planning
We develop a novel mechanism for coordinated, distributed multiagent planning. We consider problems stated as a collection of single-agent planning problems coupled by common soft...
Jan-P. Calliess, Geoffrey J. Gordon
BMCBI
2004
161views more  BMCBI 2004»
15 years 4 months ago
Three-parameter lognormal distribution ubiquitously found in cDNA microarray data and its application to parametric data treatme
Background: To cancel experimental variations, microarray data must be normalized prior to analysis. Where an appropriate model for statistical data distribution is available, a p...
Tomokazu Konishi
APSEC
2002
IEEE
15 years 9 months ago
iBistro: A Learning Environment for Knowledge Construction in Distributed Software Engineering Courses
We have taught several distributed software engineering project courses with students and real clients [4]. During these projects, students in Pittsburgh and Munich, Germany colla...
Andreas Braun, Allen H. Dutoit, Andreas Harrer, Be...