Variational Methods for Machine Learning with Applications to Deep Networks
Springer International Publishing
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Timeline
Mendeley readers
| Chapter title |
Model-Based Machine Learning and Approximate Inference
|
|---|---|
| Chapter number | 3 |
| Book title |
Variational Methods for Machine Learning with Applications to Deep Networks
|
| Published by |
Springer, Cham, January 2021
|
| DOI | 10.1007/978-3-030-70679-1_3 |
| Book ISBNs |
978-3-03-070678-4, 978-3-03-070679-1
|
| Authors |
Pinheiro Cinelli, Lucas, Araújo Marins, Matheus, Barros da Silva, Eduardo Antúnio, Lima Netto, Sérgio |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 100% |