Results 231 to 240 of about 284,592 (266)
Some of the next articles are maybe not open access.
Modeling by Non-Parametric Regression
1997In the previous chapter on the adaptive modeling of natural laws it was stated that tasks associated with such modeling included the estimation and storage of the probability distribution, as well as the development of a method for its effective application.
Igor Grabec, Wolfgang Sachse
openaire +1 more source
Non-parametric identification of generalized Hammerstein models
International Journal of Systems Science, 1998The Hammerstein model is considered in a generalized form, where its nonlinear element can have multi-inputs and a finite memory. The identification of the multi-input finite memory nonimearity and the impulse response sequence of the model is treated using a non-parametric approach. A numerical example is given.
Hosam E. Emara-Shabaik +1 more
openaire +2 more sources
Non-parametric Spectral Model for Shape Retrieval
2015 International Conference on 3D Vision, 2015Non-rigid 3D shape retrieval is an active and important research topic in content based object retrieval. This problem is often cast in terms of the shapes intrinsic geometry due to its invariance to a wide range of non-rigid deformations. In this paper, we devise a novel generative model for shape retrieval based on the spectral representation of the ...
Andrea Gasparetto +2 more
openaire +1 more source
Random effects models with non‐parametric priors
Statistics in Medicine, 1992AbstractWe discuss the performance of non‐parametric maximum likelihood (NPML) estimators for the distribution of a univariate random effect in the analysis of longitudinal data. For continuous data, we analyse generated and real data sets, and compare the NPML method to those that assume a Gaussian random effects distribution and to ordinary least ...
S M, Butler, T A, Louis
openaire +2 more sources
Non-parametric habitat models with automatic interactions
Journal of Vegetation Science, 2006AbstractQuestions:Can a statistical model be designed to represent more directly the nature of organismal response to multiple interacting factors? Can multiplicative kernel smoothers be used for this purpose? What advantages does this approach have over more traditional habitat modelling methods?Methods:Non‐parametric multiplicative regression (NPMR ...
openaire +1 more source
A non-parametric approach to behavioral device modeling
2010 11th International Symposium on Quality Electronic Design (ISQED), 2010This work proposes a non-parametric methodology for quick and effective behavioral macromodeling of complex digital and analog devices. Gaussian Process Regression (GPR) learning algorithms are used to generate simple, robust, and widely applicable time-domain models without specifying device equations or parameters.
Dragoljub Gagi Drmanac +2 more
openaire +2 more sources
A non-parametric Bayesian model for bounded data
Pattern Recognition, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thanh Minh Nguyen 0001 +1 more
openaire +2 more sources
Non-parametric models for spatial efficiency
Journal of Productivity Analysis, 1995This research develops a nonconvex model for measuring the spatial efficiency of siting decisions and demonstrates the virtues of such measurements in comparison to those of convex approaches. Working with a case study from the public sector, we develop relative spatial efficiency (RSE) models which access the sufficiency of a location decision in ...
Antreas D. Athanassopoulos +1 more
openaire +1 more source
Non Parametric Models for Covergence Analysis in Europe
2004[RELAZIONE]
PACINI, BARBARA, PELLEGRINI G.
openaire +4 more sources
A non-parametric model for Ballistocardiography
2014 IEEE Workshop on Statistical Signal Processing (SSP), 2014Yu Yao +3 more
openaire +2 more sources