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Mendeley readers
Chapter title |
Tracking a Small Set of Experts by Mixing Past Posteriors
|
---|---|
Chapter number | 3 |
Book title |
Computational Learning Theory
|
Published by |
Springer, Berlin, Heidelberg, July 2001
|
DOI | 10.1007/3-540-44581-1_3 |
Book ISBNs |
978-3-54-042343-0, 978-3-54-044581-4
|
Authors |
Olivier Bousquet, Manfred K. Warmuth |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 9% |
China | 2 | 3% |
Czechia | 1 | 2% |
Italy | 1 | 2% |
Australia | 1 | 2% |
New Zealand | 1 | 2% |
Unknown | 52 | 81% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 31% |
Researcher | 12 | 19% |
Student > Master | 10 | 16% |
Professor | 6 | 9% |
Professor > Associate Professor | 6 | 9% |
Other | 11 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 50 | 78% |
Mathematics | 5 | 8% |
Engineering | 2 | 3% |
Economics, Econometrics and Finance | 1 | 2% |
Arts and Humanities | 1 | 2% |
Other | 2 | 3% |
Unknown | 3 | 5% |