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139
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HPDC
2010
IEEE
15 years 6 months ago
Cloud computing paradigms for pleasingly parallel biomedical applications
Cloud computing offers new approaches for scientific computing that leverage the major commercial hardware and software investment in this area. Closely coupled applications are s...
Thilina Gunarathne, Tak-Lon Wu, Judy Qiu, Geoffrey...
163
Voted
CORR
2008
Springer
96views Education» more  CORR 2008»
15 years 5 months ago
Improved Approximations for Multiprocessor Scheduling Under Uncertainty
This paper presents improved approximation algorithms for the problem of multiprocessor scheduling under uncertainty (SUU), in which the execution of each job may fail probabilist...
Christopher Y. Crutchfield, Zoran Dzunic, Jeremy T...
ICML
2009
IEEE
16 years 5 months ago
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
Ryan Prescott Adams, Iain Murray, David J. C. MacK...
ICML
2009
IEEE
16 years 5 months ago
Multi-view clustering via canonical correlation analysis
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu,...
119
Voted
ICML
2009
IEEE
16 years 5 months ago
A stochastic memoizer for sequence data
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Cédric Archambeau, Jan Gasthaus...