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Improving predictive uncertainty estimation using Dropout–Hamiltonian Monte Carlo.

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Title: Improving predictive uncertainty estimation using Dropout–Hamiltonian Monte Carlo.
Authors: Hernández, Sergio1, shernandez@ucm.cl, Vergara, Diego1, Valdenegro-Toro, Matías2, Jorquera, Felipe1
Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Mar2020, Vol. 24 Issue 6, p4307-4322, 16p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 141681249
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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      – Type: doi
        Value: 10.1007/s00500-019-04195-w
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 4307
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      – TitleFull: Improving predictive uncertainty estimation using Dropout–Hamiltonian Monte Carlo.
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            NameFull: Hernández, Sergio
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            NameFull: Vergara, Diego
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            NameFull: Valdenegro-Toro, Matías
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              Text: Mar2020
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              Y: 2020
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              Value: 24
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