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JMLR
2010
88views more  JMLR 2010»
13 years 2 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
CSE
2008
IEEE
13 years 7 months ago
Direct Volume Rendering: A 3D Plotting Technique for Scientific Data
Direct volume rendering is an efficient method for plotting three dimensional scientific data. However, the technique is not as frequently used as it could be. In this article, we...
Steven P. Callahan, Jason H. Callahan, Carlos Edua...
BMCBI
2010
175views more  BMCBI 2010»
13 years 7 months ago
Global parameter estimation methods for stochastic biochemical systems
Background: The importance of stochasticity in cellular processes having low number of molecules has resulted in the development of stochastic models such as chemical master equat...
Suresh Kumar Poovathingal, Rudiyanto Gunawan
KDD
2004
ACM
170views Data Mining» more  KDD 2004»
14 years 1 months ago
Estimating the size of the telephone universe: a Bayesian Mark-recapture approach
Mark-recapture models have for many years been used to estimate the unknown sizes of animal and bird populations. In this article we adapt a finite mixture mark-recapture model i...
David Poole
ISQED
2005
IEEE
125views Hardware» more  ISQED 2005»
14 years 1 months ago
A New Method for Design of Robust Digital Circuits
As technology continues to scale beyond 100nm, there is a significant increase in performance uncertainty of CMOS logic due to process and environmental variations. Traditional c...
Dinesh Patil, Sunghee Yun, Seung-Jean Kim, Alvin C...