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Mendeley readers
Chapter title |
Ensembles of Regularized Least Squares Classifiers for High-Dimensional Problems
|
---|---|
Chapter number | 12 |
Book title |
Feature Extraction
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Published by |
Springer, Berlin, Heidelberg, January 2006
|
DOI | 10.1007/978-3-540-35488-8_12 |
Book ISBNs |
978-3-54-035487-1, 978-3-54-035488-8
|
Authors |
Kari Torkkola, Eugene Tuv |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 3% |
Cuba | 1 | 3% |
United Kingdom | 1 | 3% |
Argentina | 1 | 3% |
China | 1 | 3% |
United States | 1 | 3% |
Unknown | 25 | 81% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 26% |
Student > Ph. D. Student | 7 | 23% |
Student > Master | 6 | 19% |
Professor | 3 | 10% |
Other | 3 | 10% |
Other | 4 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 17 | 55% |
Mathematics | 5 | 16% |
Engineering | 5 | 16% |
Agricultural and Biological Sciences | 1 | 3% |
Arts and Humanities | 1 | 3% |
Other | 2 | 6% |