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106
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CSDA
2008
122views more  CSDA 2008»
15 years 3 months ago
Bayesian inference for nonlinear multivariate diffusion models observed with error
Diffusion processes governed by stochastic differential equations (SDEs) are a well established tool for modelling continuous time data from a wide range of areas. Consequently, t...
Andrew Golightly, Darren J. Wilkinson
147
Voted
DATE
2008
IEEE
136views Hardware» more  DATE 2008»
15 years 10 months ago
A Framework of Stochastic Power Management Using Hidden Markov Model
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
Ying Tan, Qinru Qiu
124
Voted
GLVLSI
2009
IEEE
146views VLSI» more  GLVLSI 2009»
15 years 7 months ago
A reconfigurable stochastic architecture for highly reliable computing
Mounting concerns over variability, defects and noise motivate a new approach for integrated circuits: the design of stochastic logic, that is to say, digital circuitry that opera...
Xin Li, Weikang Qian, Marc D. Riedel, Kia Bazargan...
122
Voted
EPEW
2006
Springer
15 years 7 months ago
Model Checking for a Class of Performance Properties of Fluid Stochastic Models
Abstract. Recently, there is an explosive development of fluid approaches to computer and distributed systems. These approaches are inherently stochastic and generate continuous st...
Manuela L. Bujorianu, Marius C. Bujorianu
129
Voted
CSDA
2006
155views more  CSDA 2006»
15 years 3 months ago
Modelling the mean of a doubly stochastic Poisson process by functional data analysis
A new procedure for estimating the mean process of a doubly stochastic Poisson process is introduced. The proposed estimation is based on monotone piecewise cubic interpolation of...
P. R. Bouzas, Mariano J. Valderrama, Ana M. Aguile...