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Esteban, M.D., Lombardía, M.J., López-Vizcaíno, E., Morales, D., Pérez, A., (2020) «Correction to: Small area estimation of proportions under area-level compositional mixed models (TEST, (2020), 29, 3, (793-818), 10.1007/s11749-019-00688-w)», Test, 30(2) : 527-528

María Dolores Esteban, Domingo Morales (Operations Research Center, University Miguel Hernández of Elche), María José Lombardía (CITIC, Universidade da Coruña), María Esther López-Vizcaíno (Instituto Galego de Estatística, Santiago de Compostela) and Agustín Pérez (Departments of Economic and Financial Studies, University Miguel Hernández of Elche) 
Abstract: The article Small area estimation of proportions under area-level compositional mixed […]

By salonso, ago

Hernández, A., Amigó, J.M. (2021) «Attention mechanisms and their applications to complex systems», Entropy, 23 (3):1–18, 283

Adrián Hernández and José María Amigó (Universidad Miguel Hernández de Elche)
Abstract: Deep learning models and graphics processing units have completely transformed the field of machine learning. Recurrent neural networks and long short-term memories have been successfully used to model and predict complex systems. However, these classic models do not perform sequential reasoning, a process that […]

By salonso, ago

Amigó, J.M., Dale, R., Tempesta, P. (2021) «A generalized permutation entropy for noisy dynamics and random processes», Chaos, 31 (1), 013115

José María Amigó, Roberto Dale (Universidad Miguel Hernández de Elche) and Piergiulio Tempesta (Departamento de Física Teórica, Universidad Complutense de Madrid and Instituto de Ciencias Matemáticas)
Abstract: Permutation entropy measures the complexity of a deterministic time series via a data symbolic quantization consisting of rank vectors called ordinal patterns or simply permutations. Reasons for the increasing […]

By salonso, ago

Adaptive Machine Learning for Data Streams

[:es]Título:  Adaptive Machine Learning for Data Streams
Ponente: Albert Bifet (University of Waikato)
Organizador: Alejandro Rabasa
Fecha: Lunes 25 de enero de 2021 a las 9:00 horas.
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Abstract: Big Data and the Internet of Things (IoT) have the potential to fundamentally shift the way we interact with our surroundings. The challenge of deriving insights from the Internet of Things (IoT) […]

By admin, ago