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» Optimal sampling from distributed streams
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IDA
2002
Springer
13 years 8 months ago
Online classification of nonstationary data streams
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
Mark Last
ICASSP
2008
IEEE
14 years 3 months ago
A new Particle Filtering algorithm with structurally optimal importance function
Bayesian estimation in nonlinear stochastic dynamical systems has been addressed for a long time. Among other solutions, Particle Filtering (PF) algorithms propagate in time a Mon...
Boujemaa Ait-El-Fquih, François Desbouvries
CORR
2010
Springer
125views Education» more  CORR 2010»
13 years 8 months ago
Near-Optimal Bayesian Active Learning with Noisy Observations
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
Daniel Golovin, Andreas Krause, Debajyoti Ray
JSAC
2008
143views more  JSAC 2008»
13 years 8 months ago
Distributed Kalman filtering based on consensus strategies
In this paper, we consider the problem of estimating the state of a dynamical system from distributed noisy measurements. Each agent constructs a local estimate based on its own m...
Ruggero Carli, Alessandro Chiuso, Luca Schenato, S...
CCGRID
2009
IEEE
13 years 6 months ago
Block-Based Concurrent and Storage-Aware Data Streaming for Grid Applications with Lots of Small Files
Data streaming management and scheduling is required by many grid computing applications, especially when the volume of data to be processed is extremely high while available stor...
Wen Zhang, Junwei Cao, Yisheng Zhong, Lianchen Liu...