Results 21 to 30 of about 466,927 (310)
Non-parametric regression for robot learning on manifolds
CoRR, 2023 17 pages, 15 figures; added quantitative comparisons with baselines in the experiments Section; modified introduction; fixed typos; added Appendixes B and C; reordered sections for better understanding; changed the Section on adaptation of ...
Pablo C. López-Custodio +3 more
openaire +2 more sources
Local Dimensionality Reduction for Non-Parametric Regression [PDF]
Neural Processing Letters, 2009 Locally-weighted regression is a computationally-efficient technique for non-linear regression. However, for high-dimensional data, this technique becomes numerically brittle and computationally too expensive if many local models need to be maintained simultaneously.
Heiko Hoffmann +2 more
openaire +3 more sources
Estatística aplicada à química: dez dúvidas comuns
Química Nova, 2011 Ten common doubts of chemistry students and professionals about their statistical applications are discussed. The use of the N-1 denominator instead of N is described for the standard deviation.
Livia Maria Zambrozi Garcia Passari +3 more
doaj +1 more source
Metals, 2020 This work aims to compare the performance of various parametric and non-parametric metamodeling techniques when applied to sheet metal forming processes. For this, the U-Channel and the Square Cup forming processes were studied.
Armando E. Marques +5 more
doaj +1 more source
Parametrically Guided Non‐parametric Regression [PDF]
Scandinavian Journal of Statistics, 1998 We present a new approach to regression function estimation in which a non‐parametric regression estimator is guided by a parametric pilot estimate with the aim of reducing the bias. New classes of parametrically guided kernel weighted local polynomial estimators are introduced and formulae for asymptotic expectation and variance, hence approximated ...
openaire +2 more sources
Remote Sensing, 2020 During the last decade, the number of available satellite observations has increased significantly, allowing for far more frequent measurements of the glacier speed. Appropriate methods of post-processing need to be developed to efficiently deal with the
Anna Derkacheva +4 more
doaj +1 more source
Estimación no paramétrica de la densidad y de la regresión - previsión no paramétrica
Revista de Matemática: Teoría y Aplicaciones, 2009 We begin with a short wiew of non parametric estimation of density and regression; then we give details and interpretation of a forecasting method, called non parametric forecasting .
Michel Carbon, Christian Francq
doaj +1 more source
Energies, 2021 Previous studies have demonstrated that non-parametric hedging models using temperature derivatives are highly effective in hedging profit/loss fluctuation risks for electric utilities.
Takuji Matsumoto, Yuji Yamada
doaj +1 more source
Gender gap in agricultural productivity in Nigeria: A commodity level analysis [PDF]
Ekonomika Poljoprivrede (1979), 2017 This study assesses gender gap in agricultural productivity across selected major crops grown by Nigerian farmers including cassava, yam, maize, guinea corn, bean and millet.
Olakojo Abayomi Solomon
doaj +1 more source
Non linear parametric mode regression [PDF]
, 2016 International audienceIn this article, we propose a semi-parametric mode regression for a non linear model. We use an expectation-maximization algorithm in order to estimate the regression coefficients of modal non linear regression.
Yao, Anne Françoise, Khardani, Salah
core +1 more source