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» Nonlinear functional regression: a functional RKHS approach
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MOR
2002
60views more  MOR 2002»
14 years 10 months ago
Properties of the Log-Barrier Function on Degenerate Nonlinear Programs
We examine the sequence of local minimizers of the log-barrier function for a nonlinear program near a solution at which second-order sufficient conditions and the Mangasarian-From...
Stephen J. Wright, Dominique Orban
AUTOMATICA
2006
112views more  AUTOMATICA 2006»
14 years 11 months ago
Joint identification of plant rational models and noise distribution functions using binary-valued observations
System identification of plants with binary-valued output observations is of importance in understanding modeling capability and limitations for systems with limited sensor inform...
Le Yi Wang, Gang George Yin, Ji-Feng Zhang
73
Voted
FSS
2006
86views more  FSS 2006»
14 years 11 months ago
An omission approach for detecting outliers in fuzzy regression models
Since Tanaka et al. in 1982 proposed a study in linear regression with a fuzzy model, fuzzy regression analysis has been widely studied and applied in various areas. However, Tana...
Wen-Liang Hung, Miin-Shen Yang
83
Voted
TSP
2008
174views more  TSP 2008»
14 years 11 months ago
Complex ICA Using Nonlinear Functions
We introduce a framework based on Wirtinger calculus for nonlinear complex-valued signal processing such that all computations can be directly carried out in the complex domain. Th...
Tülay Adali, Hualiang Li, Mike Novey, J.-F. C...
GECCO
2004
Springer
15 years 4 months ago
Multi-branches Genetic Programming as a Tool for Function Approximation
This work presents a performance analysis of a Multi-Branches Genetic Programming (MBGP) approach applied in symbolic regression (e.g. function approximation) problems. Genetic Pro...
Katya Rodríguez-Vázquez, Carlos Oliv...