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Mendeley readers
Chapter title |
Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error
|
---|---|
Chapter number | 49 |
Book title |
Machine Learning: ECML 2001
|
Published by |
Springer, Berlin, Heidelberg, September 2001
|
DOI | 10.1007/3-540-44795-4_49 |
Book ISBNs |
978-3-54-042536-6, 978-3-54-044795-5
|
Authors |
Gabriele Zenobi, Pádraig Cunningham |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 3% |
Colombia | 1 | 1% |
France | 1 | 1% |
Ireland | 1 | 1% |
Sweden | 1 | 1% |
Czechia | 1 | 1% |
China | 1 | 1% |
Spain | 1 | 1% |
Greece | 1 | 1% |
Other | 2 | 3% |
Unknown | 65 | 84% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 22 | 29% |
Student > Master | 15 | 19% |
Researcher | 7 | 9% |
Professor > Associate Professor | 7 | 9% |
Student > Doctoral Student | 5 | 6% |
Other | 10 | 13% |
Unknown | 11 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 43 | 56% |
Engineering | 7 | 9% |
Mathematics | 3 | 4% |
Business, Management and Accounting | 2 | 3% |
Unspecified | 1 | 1% |
Other | 7 | 9% |
Unknown | 14 | 18% |