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JMLR
2002
111views more  JMLR 2002»
15 years 4 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
MA
2010
Springer
172views Communications» more  MA 2010»
15 years 3 months ago
On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
Vivekananda Roy, James P. Hobert
WCE
2007
15 years 6 months ago
Sparse Matrix Multiplication Using UPC
—Partitioned global address space (PGAS) languages, such as Unified Parallel C (UPC) have the promise of being productive. Due to the shared address space view that they provide,...
Hoda El-Sayed, Eric Wright
CSL
2006
Springer
15 years 8 months ago
Game Quantification on Automatic Structures and Hierarchical Model Checking Games
Game quantification is an expressive concept and has been studied in model theory and descriptive set theory, especially in relation to infinitary logics. Automatic structures on t...
Lukasz Kaiser
157
Voted
QEST
2010
IEEE
15 years 2 months ago
Transient Analysis of Generalised Semi-Markov Processes Using Transient Stochastic State Classes
The method of stochastic state classes approaches the analysis of Generalised Semi Markov Processes (GSMP) through symbolic derivation of probability density functions over Differe...
András Horváth, Lorenzo Ridi, Enrico...