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EUROPAR
2001
Springer
15 years 2 months ago
Self-Organizing Hierarchical Cluster Timestamps
Distributed-system observation tools require an efficient data structure to store and query the partial-order of execution. Such data structures typically use vector timestamps to...
Paul A. S. Ward, David J. Taylor
JMLR
2002
111views more  JMLR 2002»
14 years 9 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
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
15 years 2 months ago
A genetic algorithm for learning significant phrase patterns in radiology reports
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
Robert M. Patton, Thomas E. Potok, Barbara G. Beck...
PDCN
2004
14 years 11 months ago
A tunable collective communication framework on a cluster of SMPS
In this paper we investigate a tunable MPI collective communications library on a cluster of SMPs. Most tunable collective communications libraries select optimal algorithms for i...
Meng-Shiou Wu, Ricky A. Kendall, Srinivas Aluru
CVPR
2004
IEEE
15 years 11 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic