Results 271 to 280 of about 12,326,596 (323)
Some of the next articles are maybe not open access.

Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms.

Science of the Total Environment, 2019
Landslides are major hazards for human activities often causing great damage to human lives and infrastructure. Therefore, the main aim of the present study is to evaluate and compare three machine learning algorithms (MLAs) including Naïve Bayes (NB ...
Qingfeng He   +12 more
semanticscholar   +1 more source

Quick approximation of bivariate functions

British Journal of Mathematical and Statistical Psychology, 2011
This paper presents two experiments where participants had to approximate function values at various generalization points of a square, using given function values at a small set of data points. A representative set of standard function approximation models was trained to exactly fit the function values at data points, and models’ responses at ...
openaire   +2 more sources

Clustering for Bivariate Functional Data

Acta Mathematicae Applicatae Sinica, English Series
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cao, Shiyun   +3 more
openaire   +2 more sources

FAST BIVARIATE FUNCTION RENDERING FOR SMALL DEVICES

International Journal of Computers and Applications, 2006
AbstractIn the actual scenario of small devices, such as smartphones and handhelds, the usual graphic algorithms need a deep adaptation. The characteristics that constrain small devices with respect to personal computers include significantly less CPU power, smaller memory, and small screen lacking specialized hardware.We propose an algorithm for ...
AMOROSO, ALESSANDRO, CASCIOLA, GIULIO
openaire   +2 more sources

Bivariate functional equations around associativity

Aequationes mathematicae, 2012
The functional equation of associativity on a nonempty set \(X\) is \[ F(x,F(y,z))=F(F(x,y),z)\quad (x,y,z\in X), \] where \(F\) stands for a bivariate map defined on the Cartesian product \(X\times X\) and taking values in \(X.\) From an algebraic point of view, we can also consider \(F\) as an associative binary operation defined on \(X\) as \(F(x,y)=
Candeal, J. C., Induráin, E.
openaire   +2 more sources

Parameter Identification for a Class of Bivariate Fractal Interpolation Functions and Constrained Approximation

Numerical Functional Analysis and Optimization, 2020
The current article intends to study some elementary constrained approximation aspects of the bivariate fractal functions. To this end, firstly the construction of bivariate fractal interpolation functions available in the literature is revisited with a ...
S. Verma, P. Viswanathan
semanticscholar   +1 more source

Copulas-based bivariate socioeconomic drought dynamic risk assessment in a changing environment

Journal of Hydrology, 2019
As the only unnatural phenomenon among the four drought types, socioeconomic drought exerts direct negative impacts on socioeconomic system. Socioeconomic drought is closely related to regional sustainable development, which however is received the least
Yi Guo   +5 more
semanticscholar   +1 more source

The Bivariate Stochastic Functional Form

SSRN Electronic Journal, 1999
This paper gives the derivation of the Bivariate Stochastic Functional Form (BSFF), which may be seen as the direct generalization of the linear regression model. The derivation does not involve complex mathematical tools such as stochastic calculus. It extends the derivation of the univariate stochastic functional form proposed by De Boer et al. (1999)
Sanne De Boer, Aart F. de Vos
openaire   +1 more source

Integrability of subdifferentials of certain bivariate functions

Nonlinear Analysis: Theory, Methods & Applications, 2003
Integrability of subdifferentials refers to the question under what conditions the inclusion \(\partial\varphi(x)\subset \partial\psi(x)\) implies that the functions \(\varphi\) and \(\psi\) differ (locally) by a constant only. In the present paper, the subdifferential mapping \(x\mapsto \partial\varphi(x)\) is defined axiomatically such that for ...
Thibault, Lionel, Zlateva, Nadia
openaire   +2 more sources

Complete homogeneous symmetric functions of Gauss Fibonacci polynomials and bivariate Pell polynomials

, 2020
: In this paper, we introduce a symmetric function in order to derive a new generating functions of bivariate Pell Lucas polynomials. We define complete homogeneous symmetric functions and give generating functions for Gauss Fibonacci polynomials, Gauss ...
N. Saba, A. Boussayoud
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy