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» Computing and using residuals in time series models
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ICML
2006
IEEE
14 years 9 months ago
Dynamic topic models
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...
David M. Blei, John D. Lafferty
CG
2007
Springer
13 years 9 months ago
Best analogs for replacing missing image data
Identifying the historical data that is the best analog with a pattern from which a forecast is sought allows time series data to be extrapolated. That technique of best analogs i...
Ning Chen, Clifford A. Reiter
ICA3PP
2005
Springer
14 years 2 months ago
Analytical Models of Probability Distributions for MPI Point-to-Point Communication Times on Distributed Memory Parallel Compute
Abstract. Measurement and modelling of distributions of data communication times is commonly done for telecommunication networks, but this has not previously been done for message ...
Duncan A. Grove, Paul D. Coddington
RTSS
1998
IEEE
14 years 1 months ago
The Time-Triggered Model of Computation
: The Time-Triggered (TT) model of computation is a model for the representation and analysis of the design of large hard real-time systems. Central to this model is the concept of...
Hermann Kopetz
RECOMB
2004
Springer
14 years 9 months ago
A random graph approach to NMR sequential assignment
Nuclear magnetic resonance (NMR) spectroscopy allows scientists to study protein structure, dynamics and interactions in solution. A necessary first step for such applications is ...
Chris Bailey-Kellogg, Sheetal Chainraj, Gopal Pand...