Buscar
Mostrando ítems 1-10 de 547
Adapting noise filters for ranking
(Universidade Federal do Rio Grande do Norte – UFRNSociedade Brasileira de Computação – SBCNatal, 2015-11)
Noise filtering can be considered an important preprocessing step in the data mining process, making data more reliable for pattern extraction. An interesting aspect for increasing data understanding would be to rank the ...
Ellipse-based principal component analysis for self-intersecting curve reconstruction from noisy point sets
(SPRINGER, 2011-03-01)
Surface reconstruction from cross cuts usually requires curve reconstruction from planar noisy point samples. The output curves must form a possibly disconnected 1-manifold for the surface reconstruction to proceed. This ...
Decomposition Methods for Machine Learning with Small, Incomplete or Noisy Datasets
(MDPI, 2021)
In many machine learning applications, measurements are sometimes incomplete or noisy resulting in missing features. In other cases, and for different reasons, the datasets are originally small, and therefore, more data ...
An experimental investigation on noisy intermittency
(Politechnika Łódzka, 2019)
Intermittency is a route to chaos when transitions between lami-nar and chaotic dynamics occur. The main attribute of intermittency is the reinjection mechanism, described by the reinjection probability density RPD), that ...
Fitting Noisy Data
(Wolfram, 2016)
Fitting Noisy Data
(Wolfram, 2011)
Unraveling the decay of the number of unobserved ordinal patterns in noisy chaotic dynamics
(American Physical Society, 2019-10)
In this paper, we introduce a model to describe the decay of the number of unobserved ordinal patterns as a function of the time series length in noisy chaotic dynamics. More precisely, we show that a stretched exponential ...