Work

Improving predictive uncertainty estimation using Dropout–Hamiltonian Monte Carlo

Year: 2019

Type: article

Source: Soft Computing

DOI: 10.1007/s00500-019-04195-w

Authors: Sergio Hernández, Diego Vergara, Matías Valdenegro-Toro, Felipe Jorquera

Institutions: Catholic University of the Maule, German Research Centre for Artificial Intelligence

Language: English

Topic: Markov Chains and Monte Carlo Methods

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2965545010

FWCI: 1.019

Cites: 45

Cited by: 17

Related to: 10