Results 11 to 20 of about 1,088 (245)

Integral data assimilation of the MERCI-1 experiment for the nuclear data associated with the PWR decay heat computation [PDF]

EPJ Web of Conferences, 2019
Nuclear decay heat is a crucial issue for PWR in-core safety after reactor shutdown and back-end cycle. It is a dimensioning parameter for safety injection systems (SIS) to avoid a dewatering of the reactor core.
Huyghe J., De Saint-Jean C., Lecarpentier D., Reynard-Carette C., Vaglio-Gaudard C., Vallet V.   +5 more
doaj   +1 more source

Sample Compression, Learnability, and the Vapnik-Chervonenkis Dimension [PDF]

Machine Learning, 1995
Within the framework of pac-learning, we explore the learnability of concepts from samples using the paradigm of sample compression schemes. A sample compression scheme of size k for a concept class C ⊆ 2X consists of a compression function and a reconstruction function. The compression function receives a finite sample set consistent with some concept
Sally Floyd, Manfred K. Warmuth
openaire   +3 more sources

Tamanho de amostra de caracteres em híbridos de mamoneira Sample size of the characters in castor bean

Ciência Rural, 2010
O objetivo deste trabalho foi estimar o tamanho de amostra para avaliar caracteres de híbridos de mamoneira e verificar a variabilidade do tamanho de amostra entre híbridos e caracteres.
Alberto Cargnelutti Filho, Sidinei José Lopes, Betânia Brum, Tatiani Reis da Silveira, Marcos Toebe, Lindolfo Storck   +5 more
doaj   +1 more source

Tamanho de amostra para a estimação da média de caracteres de pêssego na colheita e após o armazenamento refrigerado Sample size to estimate the average peach characters at harvest and after cold storage

Ciência Rural, 2012
O objetivo deste trabalho foi determinar o tamanho de amostra necessário para avaliar caracteres de frutos de pêssego na colheita e após o armazenamento refrigerado. Foram colhidos frutos de um pomar comercial.
Marcos Toebe, Vanderlei Both, Auri Brackmann, Alberto Cargnelutti Filho, Fabio Rodrigo Thewes   +4 more
doaj   +1 more source

Renewable Energy Community Pairing Methodology Using Statistical Learning Applied to Georeferenced Energy Profiles

Energies, 2022
Renewable energy communities (REC) are bound to play a crucial role in the energy transition, as their role, activities, and legal forms become clearer, and their dissemination becomes larger.
Alexandre Lucas, Salvador Carvalhosa
doaj   +1 more source

Tamanho de amostra e relações lineares de caracteres morfológicos e produtivos de crambe Sample size and linear relations of the morphological characters and production of crambe

Ciência Rural, 2010
Os objetivos deste trabalho foram determinar o tamanho de amostra para a estimação da média de caracteres morfológicos e produtivos de crambe (Crambe abyssinica Hochst) e avaliar as relações entre esses caracteres. Foi conduzido um experimento a campo em
Alberto Cargnelutti Filho, Marcos Toebe, Tatiani Reis da Silveira, Gabriele Casarotto, Fernando Machado Haesbaert, Sidinei José Lopes   +5 more
doaj   +1 more source

Quantification of Discontinuities in Welded Joints Using Gamma Tomography [PDF]

Materials Research, 2019
Gamma tomography was used in this work to evaluate the recurrent defects in welding processes in naval steel sheets. It was used a first-generation equipment consisting of a source of Cesium-137, with activity of the order of 200 mCi, coupled to a ...
Rodrigo Nogueira Palha, Paternak Souza Barros, Yogendra Prasad Yadava, Carlos Costa Dantas, Ricardo Artur Sanguinetti Ferreira   +4 more
doaj   +1 more source

Importance Sampling: Intrinsic Dimension and Computational Cost [PDF]

Statistical Science, 2017
Statistical ...
Agapiou, Sergios, Papaspiliopoulos, Omiros, Sanz-Alonso, Daniel, Stuart, Andrew M.   +3 more
openaire   +6 more sources

Fair and efficient network dimensioning with the reference point methodology

Journal of Telecommunications and Information Technology, 2006
The dimensioning of telecommunication networks that carry elastic traffic requires the fulfillment of two conflicting goals: maximizing the total network throughput and providing fairness to all flows.
Włodzimierz Ogryczak, Adam Wierzbicki, Marcin Milewski   +2 more
doaj   +1 more source

Sample-Optimal Fourier Sampling in Any Constant Dimension [PDF]

2014 IEEE 55th Annual Symposium on Foundations of Computer Science, 2014
We give an algorithm for l2/l2 sparse recovery from Fourier measurements using O(klog N) samples, matching the lower bound of Do Ba-Indyk-Price-Woodruff'10 for non-adaptive algorithms up to constant factors for any k≤ N1-δ. The algorithm runs in tilde O(N) time.
Piotr Indyk, Michael Kapralov
openaire   +3 more sources