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Mendeley readers
Chapter title |
Learning From Positive and Unlabeled Examples
|
---|---|
Chapter number | 6 |
Book title |
Algorithmic Learning Theory
|
Published by |
Springer, Berlin, Heidelberg, December 2000
|
DOI | 10.1007/3-540-40992-0_6 |
Book ISBNs |
978-3-54-041237-3, 978-3-54-040992-2
|
Authors |
Fabien Letouzey, François Denis, Rémi Gilleron |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 4% |
Spain | 2 | 4% |
Germany | 1 | 2% |
Switzerland | 1 | 2% |
Italy | 1 | 2% |
Czechia | 1 | 2% |
United Kingdom | 1 | 2% |
Portugal | 1 | 2% |
Slovenia | 1 | 2% |
Other | 3 | 5% |
Unknown | 42 | 75% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 26 | 46% |
Student > Master | 8 | 14% |
Researcher | 5 | 9% |
Student > Doctoral Student | 4 | 7% |
Professor > Associate Professor | 4 | 7% |
Other | 8 | 14% |
Unknown | 1 | 2% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 47 | 84% |
Biochemistry, Genetics and Molecular Biology | 2 | 4% |
Engineering | 2 | 4% |
Medicine and Dentistry | 1 | 2% |
Agricultural and Biological Sciences | 1 | 2% |
Other | 0 | 0% |
Unknown | 3 | 5% |