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WSC
1998
15 years 7 months ago
Adaptive Stochastic Manpower Scheduling
Bayesian forecasting models provide distributional estimates for random parameters, and relative to classical schemes, have the advantage that they can rapidly capture changes in ...
Elmira Popova, David P. Morton
CDC
2008
IEEE
120views Control Systems» more  CDC 2008»
16 years 19 days ago
Approximate abstractions of discrete-time controlled stochastic hybrid systems
ate Abstractions of Discrete-Time Controlled Stochastic Hybrid Systems Alessandro D’Innocenzo, Alessandro Abate, and Maria D. Di Benedetto — This work proposes a procedure to c...
Alessandro D'Innocenzo, Alessandro Abate, Maria Do...
OSDI
2008
ACM
16 years 6 months ago
A Comparison of High-Level Full-System Power Models
Dynamic power management in enterprise environments requires an understanding of the relationship between resource utilization and system-level power consumption. Power models bas...
Suzanne Rivoire, Parthasarathy Ranganathan, Christ...
UAI
2001
15 years 7 months ago
Toward General Analysis of Recursive Probability Models
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...
Daniel Pless, George F. Luger
AMC
2008
94views more  AMC 2008»
15 years 6 months ago
Modeling and inversion of net ecological exchange data using an Ito stochastic differential equation approach
A system of stochastic differential equations is studied describing a compartmental carbon transfer model that includes uncertainties arising in the model from environmental and p...
Luther White, Yiqi Luo