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» Challenges in Evaluating Distributed Algorithms
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147
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AAAI
2000
15 years 6 months ago
Multivariate Clustering by Dynamics
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
132
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ACL
2010
15 years 3 months ago
Improved Unsupervised POS Induction through Prototype Discovery
We present a novel fully unsupervised algorithm for POS induction from plain text, motivated by the cognitive notion of prototypes. The algorithm first identifies landmark cluster...
Omri Abend, Roi Reichart, Ari Rappoport
IPM
2006
64views more  IPM 2006»
15 years 5 months ago
Text mining without document context
We consider a challenging clustering task: the clustering of muti-word terms without document co-occurrence information in order to form coherent groups of topics. For this task, ...
Eric SanJuan, Fidelia Ibekwe-Sanjuan
CCGRID
2008
IEEE
15 years 7 months ago
Scheduling Dynamic Workflows onto Clusters of Clusters using Postponing
In this article, we revisit the problem of scheduling dynamically generated directed acyclic graphs (DAGs) of multi-processor tasks (M-tasks). A DAG is a basic model for expressin...
Sascha Hunold, Thomas Rauber, Frédér...
162
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TEC
2010
112views more  TEC 2010»
14 years 11 months ago
Population-Based Algorithm Portfolios for Numerical Optimization
In this paper, we consider the scenario that a population-based algorithm is applied to a numerical optimization problem and a solution needs to be presented within a given time bu...
Fei Peng, Ke Tang, Guoliang Chen, Xin Yao