You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Identifying Key Algorithm Parameters and Instance Features Using Forward Selection
|
---|---|
Chapter number | 40 |
Book title |
Learning and Intelligent Optimization
|
Published by |
Springer, Berlin, Heidelberg, January 2013
|
DOI | 10.1007/978-3-642-44973-4_40 |
Book ISBNs |
978-3-64-244972-7, 978-3-64-244973-4
|
Authors |
Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Hutter, Frank, Hoos, Holger H., Leyton-Brown, Kevin |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 2% |
Germany | 1 | 2% |
Austria | 1 | 2% |
Brazil | 1 | 2% |
Unknown | 43 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 25 | 53% |
Student > Master | 9 | 19% |
Researcher | 4 | 9% |
Student > Postgraduate | 2 | 4% |
Professor | 1 | 2% |
Other | 2 | 4% |
Unknown | 4 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 27 | 57% |
Engineering | 7 | 15% |
Chemical Engineering | 2 | 4% |
Mathematics | 2 | 4% |
Agricultural and Biological Sciences | 1 | 2% |
Other | 1 | 2% |
Unknown | 7 | 15% |