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Nonparametric estimation of a surrogate density function in infinite-dimensional spaces
(Taylor & Francis Ltd, 2012-06)
A density function is generally not well defined in functional data context, but we can define a surrogate of a probability density, also called pseudo-density, when the small ball probability can be approximated by the ...
Construção de um sensor virtual para a classificação de emissões de dióxido de enxofre em uma caldeira Kraft via algoritmo k-NN (k-Nearest Neighbours)
(Universidade Federal de Minas GeraisBrasilENG - DEPARTAMENTO DE ENGENHARIA QUÍMICAPrograma de Pós-Graduação em Engenharia QuímicaUFMG, 2021-08-30)
Industrial development is one of the main factors for environmental regulations in general. Certifications that standardize management and process parameters have been consolidated worldwide and are now seen as mandatory ...
Love thy neighbour: automatic animal behavioural classification of acceleration data using the K-Nearest neighbour algorithm
(Public Library Of Science, 2014-02-21)
Researchers hoping to elucidate the behaviour of species that aren’t readily observed are able to do so using biotelemetry methods. Accelerometers in particular are proving particularly effective and have been used on ...
Controlled condensation in K-NN and its application for real time color identificationCondensación controlada en K-NN y su aplicación para la identificación del color en tiempo real
(Universidad de Costa Rica, Centro de Investigación en Matemática Pura y Aplicada (CIMPA), 2017)
Curvas ROC y vecinos cercanos, propuesta de un nuevo algoritmo de condensaciónCurvas ROC y vecinos cercanos, propuesta de un nuevo algoritmo de condensación
(Universidad de Costa Rica, Centro de Investigación en Matemática Pura y Aplicada (CIMPA), 2011)
Single-element nulling interferometer for extra-solar planet detection
(2008)
We implement Grover's quantum search algorithm on a nuclear spin-chain quantum computer, taking Ising-type interactions between nearest and second-nearest neighbours into account. The performance of this implementation is ...
ROGER: Reconstructing orbits of galaxies in extreme regions using machine learning techniques
(Oxford Univ Press, 2021-01-01)
We present the ROGER (Reconstructing Orbits of Galaxies in Extreme Regions) code, which uses three different machine learning techniques to classify galaxies in, and around, clusters, according to their projected phase-space ...
The 3D Kasteleyn transition in dipolar spin ice: a numerical study with the conserved monopoles algorithm
(IOP Publishing, 2017-02)
We study the three-dimensional Kasteleyn transition in both nearest neighbours and dipolar spin ice models using an algorithm that conserves the number of excitations. We first limit the interactions range to nearest ...
One-class to multi-class model update using the class-incremental optimum-path forest classifier
(European Association for Artificial Intelligence - EurAIBenelux Association for Artificial Intelligence - BNVKIHague, 2016-08)
Incremental learning capabilities of classifiers is a relevant topic, specially when dealing with scenarios such as data stream mining, concept drift and active learning. We investigate the capabilities of an incremental ...