Results 271 to 280 of about 142,210 (310)

Low Climate Benefit of Nordic Coastal Marshes: Site Conditions Outweigh Grazing Effects and Shape Trade-Offs Between Carbon Storage and Its Stability. [PDF]

open access: yesGlob Chang Biol
Leiva-Dueñas C   +16 more
europepmc   +1 more source

Diffusion-augmented YOLO26-Swin cascaded framework with hybrid SHAP-CAM for autonomous power grid inspection. [PDF]

open access: yesAuton Intell Syst
Stefenon SF   +4 more
europepmc   +1 more source

MultiTask learning AI system to assist BCC diagnosis with dual explanation. [PDF]

open access: yesSci Rep
Matas I   +5 more
europepmc   +1 more source

Characterization of characterization of joint density by conditional densities

Communications in Statistics - Theory and Methods, 1990
In this paper the relationship between joint density and conditional densities is studied. An explicit formula is given for obtaining the joint density from the conditional ones. It is illustrated for the case of bivariate normal distribution.
A.K. Gupta, T. Varga
exaly   +2 more sources

On Density Conditions for Interpolation in the Ball

Canadian Mathematical Bulletin, 2003
AbstractIn this paper we study interpolating sequences for two related spaces of holomorphic functions in the unit ball of Cn, n > 1. We first give density conditions for a sequence to be interpolating for the class A−∞ of holomorphic functions with polynomial growth.
Marco, Nicolas, Massaneda, Xavier
openaire   +1 more source

A NOTE ON DENSITY AND THE DIRICHLET CONDITION

International Journal of Number Theory, 2012
Motivated by topological approaches to Euclid and Dirichlet's theorems on infinitude of primes, we introduce and study [Formula: see text]-coprime topologies on a commutative ring R with an identity and without zero divisors. For infinite semiprimitive commutative domain R of finite character (i.e.
Marko, František, Porubský, Štefan
openaire   +1 more source

Adaptive Estimation of a Conditional Density

International Statistical Review, 2015
SummaryThe authors consider the problem of estimating a conditional density by a conditional kernel density estimate when the error associated with the estimate is measured by theL1‐norm. On the basis of the combinatorial method of Devroye and Lugosi (), they propose a method for selecting the bandwidths adaptively and for providing a theoretical ...
Bott, Ann-Kathrin, Kohler, Michael
openaire   +1 more source

SVM method of estimating density, conditional probability, and conditional density

2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353), 2002
The problem of estimating density, conditional probability, and conditional density is considered as an ill-posed problem of solving integral equations. To solve these equations the support vector method (SVM) is used.
openaire   +1 more source

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