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JMLR
2010
88views more  JMLR 2010»
13 years 4 months ago
Inference and Learning in Networks of Queues
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
Charles A. Sutton, Michael I. Jordan
SIGCOMM
1998
ACM
14 years 2 months ago
Accelerated Reliability Analysis for Self-Healing SONET Networks
Recently, a parametric State Reward Markov Model SRMM p has been developed for the reliability and availability analysis of self-healing SONET mesh networks 2 . In this paper, w...
Hakki C. Cankaya, V. S. S. Nair
ECCV
2006
Springer
15 years 8 hour ago
An Integrated Model for Accurate Shape Alignment
In this paper, we propose a two-level integrated model for accurate face shape alignment. At the low level, the shape is split into a set of line segments which serve as the nodes ...
Lin Liang, Fang Wen, Xiaoou Tang, Ying-Qing Xu
SCP
2000
119views more  SCP 2000»
13 years 10 months ago
Automated compositional Markov chain generation for a plain-old telephone system
Obtaining performance models, like Markov chains and queueing networks, for systems of significant complexity and magnitude is a difficult task that is usually tackled using human...
Holger Hermanns, Joost-Pieter Katoen
ANSS
1996
IEEE
14 years 2 months ago
Computation of the Asymptotic Bias and Variance for Simulation of Markov Reward Models
The asymptotic bias and variance are important determinants of the quality of a simulation run. In particular, the asymptotic bias can be used to approximate the bias introduced b...
Aad P. A. van Moorsel, Latha A. Kant, William H. S...