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ICS
2007
Tsinghua U.
14 years 2 months ago
Locality of sampling and diversity in parallel system workloads
Observing the workload on a computer system during a short (but not too short) time interval may lead to distributions that are significantly different from those that would be o...
Dror G. Feitelson
ICASSP
2011
IEEE
13 years 14 days ago
On selecting the hyperparameters of the DPM models for the density estimation of observation errors
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
Asma Rabaoui, Nicolas Viandier, Juliette Marais, E...
ATAL
2005
Springer
14 years 2 months ago
AgentSteel: an agent-based online system for the planning and observation of steel production
The steel production of the German company Saarstahl AG, a global respected steel manufacturer, represents a Supply Chain which comprehends several time-critical and highly interf...
Sven Jacobi, Cristián Madrigal-Mora, Esteba...
AAAI
2011
12 years 8 months ago
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Byron Boots, Geoffrey J. Gordon
CSUR
2006
121views more  CSUR 2006»
13 years 8 months ago
A taxonomy of Data Grids for distributed data sharing, management, and processing
Data Grids have been adopted as the next-generation platform by many scientific communities that need to share, access, transport, process and manage large data collections distri...
Srikumar Venugopal, Rajkumar Buyya, Kotagiri Ramam...