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» Guaranteed non-asymptotic confidence regions in system ident...
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56
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AUTOMATICA
2005
46views more  AUTOMATICA 2005»
15 years 14 days ago
Guaranteed non-asymptotic confidence regions in system identification
Marco C. Campi, Erik Weyer
ICB
2007
Springer
117views Biometrics» more  ICB 2007»
15 years 4 months ago
Curvewise DET Confidence Regions and Pointwise EER Confidence Intervals Using Radial Sweep Methodology
One methodology for evaluating the matching performance of biometric authentication systems is the detection error tradeoff (DET) curve. The DET curve graphically illustrates the r...
Michael E. Schuckers, Yordan Minev, Andy Adler
99
Voted
AUTOMATICA
2008
98views more  AUTOMATICA 2008»
15 years 21 days ago
An algorithm for bounded-error identification of nonlinear systems based on DC functions
This paper presents a guaranteed method for the parameter estimation of nonlinear models in a bounded-error context. This method is based on functions which consists of the differ...
J. M. Bravo, T. Alamo, M. J. Redondo, Eduardo F. C...
102
Voted
BMCBI
2008
135views more  BMCBI 2008»
15 years 21 days ago
Ab-origin: an enhanced tool to identify the sourcing gene segments in germline for rearranged antibodies
Background: In the adaptive immune system, variable regions of immunoglobulin (IG) are encoded by random recombination of variable (V), diversity (D), and joining (J) gene segment...
Xiaojing Wang, Di Wu, SiYuan Zheng, Jing Sun, Lin ...
110
Voted
SIMPRA
2008
125views more  SIMPRA 2008»
15 years 14 days ago
Identification of Wiener models using optimal local linear models
The Wiener model is a versatile nonlinear block oriented model structure for miscellaneous applications. In this paper a method for identifying the parameters of such a model usin...
Martin Kozek, Sabina Sinanovic