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X Demographics
Mendeley readers
| Title |
Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment
|
|---|---|
| Published by |
Springer Berlin Heidelberg, April 2006
|
| DOI | 10.1007/11736790 |
| ISBNs |
978-3-54-033427-9, 978-3-54-033428-6
|
| Editors |
Quiñonero-Candela, Joaquin, Dagan, Ido, Magnini, Bernardo, d’Alché-Buc, Florence |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 6% |
| Spain | 1 | 6% |
| United States | 1 | 6% |
| Unknown | 15 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 33% |
| Student > Master | 6 | 33% |
| Researcher | 4 | 22% |
| Student > Doctoral Student | 1 | 6% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 44% |
| Engineering | 3 | 17% |
| Earth and Planetary Sciences | 2 | 11% |
| Linguistics | 1 | 6% |
| Social Sciences | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 2 | 11% |