To access the full text documents, please follow this link: http://hdl.handle.net/2117/82956
dc.contributor | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
---|---|
dc.contributor | Universitat Politècnica de Catalunya. SOCO - Soft Computing |
dc.contributor.author | Tosi, Alessandra |
dc.contributor.author | Olier, Iván |
dc.contributor.author | Vellido Alcacena, Alfredo |
dc.date | 2014 |
dc.identifier.citation | Tosi, A., Olier, I., Vellido, A. Probability ridges and distortion flows: Visualizing multivariate time series using a variational Bayesian manifold learning method. A: Workshop on Self-Organizing Maps. "Advances in self-organizing maps and learning vector quantization: Proceedings of the 10th International Workshop, WSOM 2014, Mittweida, Germany, July, 2-4, 2014 (Advances in Intelligent Systems and Computing; 295)". Mittweida: Springer, 2014, p. 55-64. |
dc.identifier.citation | 978-3-319-07695-9 |
dc.identifier.citation | 10.1007/978-3-319-07695-9_5 |
dc.identifier.uri | http://hdl.handle.net/2117/82956 |
dc.language.iso | eng |
dc.publisher | Springer |
dc.relation | http://link.springer.com/chapter/10.1007%2F978-3-319-07695-9_5 |
dc.rights | info:eu-repo/semantics/openAccess |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial |
dc.subject | Information visualization |
dc.subject | Bayesian statistical decision theory |
dc.subject | Multivariate time series |
dc.subject | Nonlinear dimensionality reduction |
dc.subject | Mapping distortion |
dc.subject | Magnification factors |
dc.subject | Visualization |
dc.subject | Generative topographic mapping |
dc.subject | Variational Bayesian methods |
dc.subject | Visualització de la informació |
dc.subject | Estadística bayesiana |
dc.title | Probability ridges and distortion flows: Visualizing multivariate time series using a variational Bayesian manifold learning method |
dc.type | info:eu-repo/semantics/submittedVersion |
dc.type | info:eu-repo/semantics/conferenceObject |
dc.description.abstract | |
dc.description.abstract |