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Mendeley readers
Chapter title |
Boosting with Diverse Base Classifiers
|
---|---|
Chapter number | 21 |
Book title |
Learning Theory and Kernel Machines
|
Published by |
Springer, Berlin, Heidelberg, January 2003
|
DOI | 10.1007/978-3-540-45167-9_21 |
Book ISBNs |
978-3-54-040720-1, 978-3-54-045167-9
|
Authors |
Sanjoy Dasgupta, Philip M. Long |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Czechia | 1 | 10% |
Australia | 1 | 10% |
Unknown | 8 | 80% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 3 | 30% |
Student > Ph. D. Student | 2 | 20% |
Researcher | 2 | 20% |
Professor | 1 | 10% |
Lecturer | 1 | 10% |
Other | 1 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 60% |
Engineering | 2 | 20% |
Agricultural and Biological Sciences | 1 | 10% |
Mathematics | 1 | 10% |