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» Measuring Distributional Similarity in Context
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ECML
2006
Springer
14 years 1 months ago
Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures
Abstract. This paper studies a Bayesian framework for density modeling with mixture of exponential family distributions. Variational Bayesian Dirichlet-Multinomial allocation (VBDM...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
INFOCOM
2011
IEEE
13 years 1 months ago
Sampling vs sketching: An information theoretic comparison
—The main approaches to high speed measurement in routers are traffic sampling, and sketching. However, it is not known which paradigm is inherently better at extracting informa...
Paul Tune, Darryl Veitch
DIS
2007
Springer
14 years 4 months ago
A Hilbert Space Embedding for Distributions
We describe a technique for comparing distributions without the need for density estimation as an intermediate step. Our approach relies on mapping the distributions into a reprodu...
Alexander J. Smola, Arthur Gretton, Le Song, Bernh...
CONPAR
1994
14 years 2 months ago
Automatic Spark Strategies and Granularity for a Parallel Functional Language Reducer
This paper considers the issue of dynamic task control in the context of a parallel Haskell implementation on the GRIP multiprocessor. For the rst time, we report the e ect of our ...
Kevin Hammond, James S. Mattson Jr., Simon L. Peyt...
HPDC
2008
IEEE
14 years 4 months ago
StoreGPU: exploiting graphics processing units to accelerate distributed storage systems
Today Graphics Processing Units (GPUs) are a largely underexploited resource on existing desktops and a possible costeffective enhancement to high-performance systems. To date, mo...
Samer Al-Kiswany, Abdullah Gharaibeh, Elizeu Santo...