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Mendeley readers
Chapter title |
Robust Gaussian Process-Based Global Optimization Using a Fully Bayesian Expected Improvement Criterion
|
---|---|
Chapter number | 13 |
Book title |
Learning and Intelligent Optimization
|
Published by |
Springer, Berlin, Heidelberg, January 2011
|
DOI | 10.1007/978-3-642-25566-3_13 |
Book ISBNs |
978-3-64-225565-6, 978-3-64-225566-3
|
Authors |
Romain Benassi, Julien Bect, Emmanuel Vazquez |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 2% |
Canada | 1 | 2% |
Unknown | 40 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 40% |
Student > Bachelor | 4 | 10% |
Student > Doctoral Student | 3 | 7% |
Researcher | 3 | 7% |
Professor > Associate Professor | 3 | 7% |
Other | 8 | 19% |
Unknown | 4 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 29% |
Engineering | 12 | 29% |
Mathematics | 4 | 10% |
Physics and Astronomy | 2 | 5% |
Decision Sciences | 2 | 5% |
Other | 3 | 7% |
Unknown | 7 | 17% |