Results 61 to 70 of about 292,163 (222)

Introductions à l'oeuvre de Pierre Legendre

open access: yes, 2023
L’œuvre de Pierre Legendre est immense par son volume (plus de quarante ouvrages) et son originalité. Elle traite de façon exigeante de «l’animal humain doué de parole» et de la société considérée comme un Texte.

core   +1 more source

Residual permutation tests for feature importance in machine learning

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Psychological research has traditionally relied on linear models to test scientific hypotheses. However, the emergence of machine learning (ML) algorithms has opened new opportunities for exploring variable relationships beyond linear constraints.
Po‐Hsien Huang
wiley   +1 more source

Comparison of Legendre polynomial approximation and variational iteration method for the solutions of general linear Fredholm integro-differential equations [PDF]

open access: yes, 2010
In this study it is shown that the numerical solutions of linear Fredholm integro-differential equations obtained by using Legendre polynomials can also be found by using the variational iteration method.
Bildik, Necdet   +2 more
core   +2 more sources

The Product of Two Legendre Polynomials [PDF]

open access: yesProceedings of the Glasgow Mathematical Association, 1953
1. It is known that any polynomial in μ. can be expanded as a linear function of Legendre polynomials [1]. In particular, we haveThe earlier coefficients, say A0, A2, A4 may easily be found by equating the coefficients of μp+q, μp+q-2, μp+q-4 on the two sides of (1).
openaire   +2 more sources

Nowcasting Swiss GDP Growth From Public Lead Texts: Simple Methods Are Sufficient

open access: yesOxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT Public lead texts from Swiss newspapers contain most of the signal needed to nowcast Swiss GDP growth in real time. I build an indicator from daily topic‐specific sentiment and recession measures extracted from three Swiss newspapers and evaluate it in pseudo‐real time.
Marc Burri
wiley   +1 more source

Legendre–Bernstein basis transformations [PDF]

open access: yes, 2000
The Bernstein form of a polynomial offers valuable insight into its geometrical behavior, and has thus won widespread acceptance as the basis for Bézier curves and surfaces.
Rida T. Farouki, Farouki, Rida T.
core   +1 more source

Conférence de M. Pierre Legendre

open access: yes, 1986
Legendre Pierre. Conférence de M. Pierre Legendre. In: École pratique des hautes études, Section des sciences religieuses. Annuaire. Tome 95, 1986-1987. 1986. pp.
Legendre, Pierre
core   +1 more source

Stochastic Galerkin and Monte Carlo Methods for Parabolic Problems: Numerical Performance of Variational Matrix‐Free Approximations

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT Stochastic Galerkin methods offer unexplored potential for the numerical simulation of parabolic problems with random variables, in particular if they are combined with variational discretizations of the space and time variables. Due to the high dimensionality, the solution of the arising algebraic systems do not become feasible without ...
Moataz Dawor   +2 more
wiley   +1 more source

Algorithms for Solving Ordinary Differential Equations Based on Orthogonal Polynomial Neural Networks

open access: yesAlgorithms
This article proposes single-layer neural network algorithms for solving second-order ordinary differential equations, based on the principles of functional connection.
Roman Parovik
doaj   +1 more source

Insights into biomass accumulation and challenges in grain yield prediction of elite breeding materials using UAV‐based vegetation indices in soft red winter wheat

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract High‐throughput phenotyping (HTP) techniques have brought new opportunities to understand and evaluate key traits in plant breeding programs. Combining multiple measures through time and random regression models permits a more comprehensive understanding of the genetic and environmental effects on trait expression over time. This study aims to
Felipe Sabadin   +16 more
wiley   +1 more source

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