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» Robust constrained predictive control using comparison model
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BMCBI
2010
163views more  BMCBI 2010»
13 years 8 months ago
Reduced representation of protein structure: implications on efficiency and scope of detection of structural similarity
Background: Computational comparison of two protein structures is the starting point of many methods that build on existing knowledge, such as structure modeling (including modeli...
Zong Hong Zhang, Hwee Kuan Lee, Ivana Mihalek
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
14 years 2 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
DAC
2000
ACM
14 years 9 months ago
GTX: the MARCO GSRC technology extrapolation system
Technology extrapolation -- the calibration and prediction of achievable design in future technology generations ? drives the evolution of VLSI system architectures, design method...
Andrew E. Caldwell, Yu Cao, Andrew B. Kahng, Farin...
AUTOMATICA
2005
108views more  AUTOMATICA 2005»
13 years 7 months ago
Enlarging the domain of attraction of MPC controllers
This paper presents a method for enlarging the domain of attraction of nonlinear model predictive control (MPC). The usual way of guaranteeing stability of nonlinear MPC is to add...
Daniel Limón, T. Alamo, Eduardo F. Camacho
ML
2002
ACM
163views Machine Learning» more  ML 2002»
13 years 7 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola