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stat.ML2025
Bayesian Nonparametric Dynamical Clustering of Time Series
Adrián Pérez-Herrero, Paulo Félix, Jesús Presedo +1
We present a method that models the evolution of an unbounded number of time series clusters by switching among an unknown number of regimes with linear dynamics. We develop a Baye…
stat.ML2022
Parameterization of state duration in Hidden semi-Markov Models: an application in electrocardiography
Adrián Pérez Herrero, Paulo Félix Lamas, Jesús María Rodríguez Presedo
This work aims at providing a new model for time series classification based on learning from just one example. We assume that time series can be well characterized as a parametric…