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» Sensitivity Analysis of Markovian Models
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IJAR
2002
98views more  IJAR 2002»
13 years 7 months ago
Contradiction sensitive fuzzy model-based adaptive control
Fuzzy model-based adaptive control, unlike traditional fuzzy control, extracts expert knowledge from data by using model identification techniques. In this paper, we propose an an...
Pablo Carmona, Juan Luis Castro, Jose Manuel Zurit...
RECOMB
2003
Springer
14 years 8 months ago
An integrated probabilistic model for functional prediction of proteins
We develop an integrated probabilistic model to combine protein physical interactions, genetic interactions, highly correlated gene expression network, protein complex data, and d...
Minghua Deng, Ting Chen, Fengzhu Sun
DAC
1998
ACM
13 years 12 months ago
Adjoint Transient Sensitivity Computation in Piecewise Linear Simulation
This paper presents a general method for computing transient sensitivities using the adjoint method in event driven simulation algorithms that employ piecewise linear device model...
Tuyen V. Nguyen, Anirudh Devgan, Ognen J. Nastov
PROCEDIA
2010
87views more  PROCEDIA 2010»
13 years 6 months ago
Forecast sensitivity to the observation error covariance in variational data assimilation
The development of the adjoint of the forecast model and of the adjoint of the data assimilation system (adjoint-DAS) make feasible the evaluation of the derivative-based forecast...
Dacian N. Daescu
EOR
2011
109views more  EOR 2011»
13 years 2 months ago
The effects of sensitization and habituation in durable goods markets
: We develop a model to study the impact of changes in price or quality sensitivity on the firm as it introduces multiple generations of a durable product where unit costs are a co...
Guilherme Liberali, Thomas S. Gruca, Walter M. Niq...