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ICML
2010
IEEE
15 years 7 months ago
The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling
The hierarchical Dirichlet process (HDP) is a Bayesian nonparametric mixed membership model--each data point is modeled with a collection of components of different proportions. T...
Sinead Williamson, Chong Wang, Katherine A. Heller...
HPCN
1995
Springer
15 years 10 months ago
A model-driven tool for performance measurement and analysis of parallel programs
The performance of parallel computing systems is strongly dependent on the runtime behaviour of parallel programs. This paper describes a new approach to measure and analyze the ru...
Xiandeng Huang, Christoph Steigner
CCE
2007
15 years 6 months ago
A multiple model, state feedback strategy for robust control of non-linear processes
In order to achieve global stability using well-established linear control theory and techniques, a multiple model approach has attracted increased attention in recent years. In o...
F. Y. Wang, Parisa A. Bahri, Peter L. Lee, I. T. C...
CLOUD
2010
ACM
15 years 11 months ago
Nephele/PACTs: a programming model and execution framework for web-scale analytical processing
We present a parallel data processor centered around a programming model of so called Parallelization Contracts (PACTs) and the scalable parallel execution engine Nephele [18]. Th...
Dominic Battré, Stephan Ewen, Fabian Hueske...
NIPS
2004
15 years 8 months ago
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes
We propose the hierarchical Dirichlet process (HDP), a nonparametric Bayesian model for clustering problems involving multiple groups of data. Each group of data is modeled with a...
Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, ...