Robust Classification of Multivariate Time Series by Imprecise Hidden Markov ModelsI Alessandro Antonucci1,∗, Rocco de Rosa2 , Alessandro Giusti1 , Fabio Cuzzolin3 Abstract A novel technique to classify time series wit - Time series models - Document - PDFSEARCH.IO

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	Robust Classification of Multivariate Time Series by Imprecise Hidden Markov ModelsI Alessandro Antonucci1,∗, Rocco de Rosa2 , Alessandro Giusti1 , Fabio Cuzzolin3 Abstract A novel technique to classify time series wit Add to Reading List Document Date: 2014-11-19 11:12:13 Open Document File Size: 725,29 KB Share Result on Facebook City Milano / Oxford / / Country Switzerland / United Kingdom / Italy / / / Facility Oxford Brookes University Wheatley Campus / / IndustryTerm classification algorithms / k-nearest neighbors algorithm / computing / suitable inference algorithms / credal networks / / Organization Oxford Brookes University / Department of Computing / / Person Rocco de Rosa / Fabio Cuzzolin / Alessandro Giusti / Alessandro Antonucci / / Position Corresponding author / / Technology classification algorithms / IHMM-B. Both algorithms / suitable inference algorithms / classical EM algorithm / EM algorithm / two algorithms / k-nearest neighbors algorithm / / SocialTag Bayesian inference Credal set Markov processes Estimation theory Hidden Markov model Markov chain Expectation–maximization algorithm Imprecise probability Naive Bayes classifier Statistics

Robust Classification of Multivariate Time Series by Imprecise Hidden Markov ModelsI Alessandro Antonucci1,∗, Rocco de Rosa2 , Alessandro Giusti1 , Fabio Cuzzolin3 Abstract A novel technique to classify time series witAdd to Reading List