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WSC
2001
13 years 9 months ago
Quantifying simulation output variability using confidence intervals and statistical process control
Two types of variability can occur in model output: variability between replications and variability within each replication. The objective of the model combined with the type of ...
Amy Jo Naylor
FSS
2008
88views more  FSS 2008»
13 years 7 months ago
Solution of a system of linear equations with fuzzy numbers
The paper deals with a solution of a fuzzy interval system of linear equations, i.e. a system in which fuzzy intervals (numbers) appear instead of crisp numbers. We obtain general...
Rostislav Horcík
NIPS
2003
13 years 9 months ago
Markov Models for Automated ECG Interval Analysis
We examine the use of hidden Markov and hidden semi-Markov models for automatically segmenting an electrocardiogram waveform into its constituent waveform features. An undecimated...
Nicholas P. Hughes, Lionel Tarassenko, Stephen J. ...
CORR
2006
Springer
110views Education» more  CORR 2006»
13 years 7 months ago
An Analysis of Arithmetic Constraints on Integer Intervals
Arithmetic constraints on integer intervals are supported in many constraint programming systems. We study here a number of approaches to implement constraint propagation for thes...
Krzysztof R. Apt, Peter Zoeteweij
AUTOMATICA
2007
90views more  AUTOMATICA 2007»
13 years 7 months ago
Stability analysis of discrete-time iterative learning control systems with interval uncertainty
This paper presents a stability analysis of the iterative learning control (ILC) problem for discrete-time systems when the plant Markov parameters are subject to interval uncerta...
Hyo-Sung Ahn, Kevin L. Moore, Yangquan Chen