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Mendeley readers
Title |
Variational Methods for Machine Learning with Applications to Deep Networks
|
---|---|
Published by |
Springer International Publishing, January 2021
|
DOI | 10.1007/978-3-030-70679-1 |
ISBNs |
978-3-03-070678-4, 978-3-03-070679-1
|
Authors |
Lucas Pinheiro Cinelli, Matheus Araújo Marins, Eduardo Antônio Barros da Silva, Sérgio Lima Netto, Cinelli, Lucas Pinheiro, Marins, Matheus Araújo, Barros da Silva, Eduardo Antônio, Netto, Sérgio Lima |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 13% |
Researcher | 3 | 9% |
Student > Master | 3 | 9% |
Unspecified | 2 | 6% |
Student > Doctoral Student | 1 | 3% |
Other | 5 | 16% |
Unknown | 14 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 5 | 16% |
Computer Science | 4 | 13% |
Physics and Astronomy | 3 | 9% |
Unspecified | 2 | 6% |
Linguistics | 1 | 3% |
Other | 2 | 6% |
Unknown | 15 | 47% |