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Mendeley readers
Chapter title |
A Boosting Approach to Multiple Instance Learning
|
---|---|
Chapter number | 9 |
Book title |
Machine Learning: ECML 2004
|
Published by |
Springer Berlin Heidelberg, January 2004
|
DOI | 10.1007/978-3-540-30115-8_9 |
Book ISBNs |
978-3-54-023105-9, 978-3-54-030115-8
|
Authors |
Peter Auer, Ronald Ortner |
Editors |
Jean-François Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 7% |
China | 1 | 3% |
Singapore | 1 | 3% |
Taiwan | 1 | 3% |
Unknown | 24 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 24% |
Student > Master | 7 | 24% |
Researcher | 4 | 14% |
Professor > Associate Professor | 3 | 10% |
Student > Doctoral Student | 2 | 7% |
Other | 4 | 14% |
Unknown | 2 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 21 | 72% |
Engineering | 2 | 7% |
Earth and Planetary Sciences | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Chemistry | 1 | 3% |
Other | 1 | 3% |
Unknown | 2 | 7% |