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Mendeley readers
Chapter title |
Upper-Confidence-Bound Algorithms for Active Learning in Multi-armed Bandits
|
---|---|
Chapter number | 17 |
Book title |
Algorithmic Learning Theory
|
Published in |
Lecture notes in computer science, January 2011
|
DOI | 10.1007/978-3-642-24412-4_17 |
Book ISBNs |
978-3-64-224411-7, 978-3-64-224412-4
|
Authors |
Carpentier, Alexandra, Lazaric, Alessandro, Ghavamzadeh, Mohammad, Munos, Rémi, Auer, Peter, Alexandra Carpentier, Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos, Peter Auer |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 1% |
United Kingdom | 1 | 1% |
Canada | 1 | 1% |
China | 1 | 1% |
Japan | 1 | 1% |
Poland | 1 | 1% |
Unknown | 74 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 33 | 41% |
Student > Master | 11 | 14% |
Researcher | 10 | 13% |
Student > Postgraduate | 4 | 5% |
Student > Bachelor | 3 | 4% |
Other | 10 | 13% |
Unknown | 9 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 35 | 44% |
Engineering | 10 | 13% |
Mathematics | 10 | 13% |
Neuroscience | 4 | 5% |
Agricultural and Biological Sciences | 3 | 4% |
Other | 7 | 9% |
Unknown | 11 | 14% |