Results 31 to 40 of about 9,847,496 (288)
Rate of convergence of predictive distributions for dependent data [PDF]
, 2008 This paper deals with empirical processes of the type \[C_n(B)=\sqrt{n}\{\mu_n(B)-P(X_{n+1}\in B\mid X_1,...,X_n)\},\] where $(X_n)$ is a sequence of random variables and $\mu_n=(1/n)\sum_{i=1}^n\delta_{X_i}$ the empirical measure. Conditions for $\sup_B|
Berti, Patrizia +3 more
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ConDeTri--a content dependent read trimmer for Illumina data.
PLoS ONE, 2011 UnlabelledDuring the last few years, DNA and RNA sequencing have started to play an increasingly important role in biological and medical applications, especially due to the greater amount of sequencing data yielded from the new sequencing machines and ...
Linnéa Smeds, Axel Künstner
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Data-Dependent Conditional Priors for Unsupervised Learning of Multimodal Data
Entropy, 2020 One of the major shortcomings of variational autoencoders is the inability to produce generations from the individual modalities of data originating from mixture distributions.
Frantzeska Lavda +2 more
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Fitting a function to time-dependent ensemble averaged data [PDF]
, 2018 Time-dependent ensemble averages, i.e., trajectory-based averages of some observable, are of importance in many fields of science. A crucial objective when interpreting such data is to fit these averages (for instance, squared displacements) with a ...
Ambjornsson, Tobias +3 more
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Note on conditional mode estimation for functional dependent data
Statistica, 2013 We consider α-mixing observations and deal with the estimation of the conditional mode of a scalar response variable Y given a random variable X taking values in a semi-metric space. We provide a convergence rate in Lp norm of the estimator.
Sophie Dabo-Niang
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Auxiliary Particle Filter for Prognostics and Health Management
International Journal of Prognostics and Health Management, 2023 Accurately predicting the remaining useful life (RUL) of a system is a crucial factor in prognostics and health management (PHM). This paper introduces an auxiliary particle filter (APF) model, which has the advantages of dynamically updating the model ...
Hang Xiao, Jamie Coble, J Wesley Hines
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Extracting molecular Hamiltonian structure from time-dependent fluorescence intensity data [PDF]
, 2000 We propose a formalism for extracting molecular Hamiltonian structure from inversion of time-dependent fluorescence intensity data. The proposed method requires a minimum of \emph{a priori} knowledge about the system and allows for extracting a complete ...
Assion A +10 more
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Metabolites, 2023 Liquid chromatography combined with high-resolution mass spectrometry (LC-HRMS) is a frequently applied technique for suspect screening (SS) and non-target screening (NTS) in metabolomics and environmental toxicology.
Rosalie Nijssen +6 more
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Predicting Data-Dependent Jitter [PDF]
IEEE Transactions on Circuits and Systems II: Express Briefs, 2004 An analysis for calculating data-dependent jitter (DDJ) in a first-order system is introduced. The predicted DDJ features unique threshold crossing times with self-similar geometry. An approximation for DDJ in second-order systems is described in terms of the damping factor and natural frequency.
James F. Buckwalter +2 more
openaire +2 more sources
Uncertainty-dependent data collection in vehicular sensor networks
, 2012 Vehicular sensor networks (VSNs) are built on top of vehicular ad-hoc networks (VANETs) by equipping vehicles with sensing devices. These new technologies create a huge opportunity to extend the sensing capabilities of the existing road traffic control ...
Płaczek, Bartłomiej
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