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Mendeley readers
Chapter title |
Non-linear Causal Inference Using Gaussianity Measures
|
---|---|
Chapter number | 8 |
Book title |
Cause Effect Pairs in Machine Learning
|
Published by |
Springer, Cham, January 2019
|
DOI | 10.1007/978-3-030-21810-2_8 |
Book ISBNs |
978-3-03-021809-6, 978-3-03-021810-2
|
Authors |
Daniel Hernández-Lobato, Pablo Morales-Mombiela, David Lopez-Paz, Alberto Suárez |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 2% |
Switzerland | 1 | 2% |
Brazil | 1 | 2% |
Unknown | 46 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 31% |
Researcher | 13 | 27% |
Student > Master | 5 | 10% |
Professor | 3 | 6% |
Student > Bachelor | 2 | 4% |
Other | 5 | 10% |
Unknown | 6 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 21 | 43% |
Engineering | 6 | 12% |
Mathematics | 5 | 10% |
Unspecified | 2 | 4% |
Economics, Econometrics and Finance | 2 | 4% |
Other | 5 | 10% |
Unknown | 8 | 16% |