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ICML
2008
IEEE
16 years 7 months ago
An HDP-HMM for systems with state persistence
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
WSC
2000
15 years 7 months ago
Input modeling using a computer algebra system
Input modeling that involves fitting standard univariate parametric probability distributions is typically performed using an input modeling package. These packages typically fit ...
Diane L. Evans, Lawrence Leemis
SOSP
2001
ACM
16 years 3 months ago
Building Efficient Wireless Sensor Networks with Low-Level Naming
In most distributed systems, naming of nodes for low-level communication leveragestopologicallocation(such as node addresses) and is independentof any application. In this paper, ...
John S. Heidemann, Fabio Silva, Chalermek Intanago...
IPPS
2007
IEEE
16 years 25 days ago
A Performance Prediction Framework for Grid-Based Data Mining Applications
For a grid middleware to perform resource allocation, prediction models are needed, which can determine how long an application will take for completion on a particular platform o...
Leonid Glimcher, Gagan Agrawal
ICPP
2006
IEEE
16 years 17 days ago
Data Sharing Pattern Aware Scheduling on Grids
These days an increasing number of applications, especially in science and engineering, are dealing with a massive amount of data; hence they are dataintensive. Bioinformatics, da...
Young Choon Lee, Albert Y. Zomaya