Exploració per tema "Multivariate time series"
Ara es mostren els items 1-4 de 4
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A variational formulation for GTM through time: Theoretical foundations
(2007-10)
Report de recerca
Accés obertGenerative Topographic Mapping (GTM) is a latent variable model that, in its standard version, was conceived to provide clustering and visualization of multivariate, real-valued, i.i.d. data. It was also extended to deal ... -
Advances in clustering and visualization of time series using GTM through time
(2008-09)
Article
Accés restringit per política de l'editorialMost of the existing research on multivariate time series concerns supervised forecasting problems. In comparison, little research has been devoted to their exploration through unsupervised clustering and visualization. ... -
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction
(Elsevier, 2023-04)
Article
Accés obertBacterial resistance to antibiotics has been rapidly increasing, resulting in a low antibiotic effectiveness even treating common infections. The presence of resistant pathogens in environments such as a hospital Intensive ... -
Probability ridges and distortion flows: Visualizing multivariate time series using a variational Bayesian manifold learning method
(Springer, 2014)
Text en actes de congrés
Accés obertTime-dependent natural phenomena and artificial processes can often be quantitatively expressed as multivariate time series (MTS). As in any other process of knowledge extraction from data, the analyst can benefit from the ...