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Mendeley readers
| Chapter title |
Making Early Predictions of the Accuracy of Machine Learning Classifiers
|
|---|---|
| Chapter number | 6 |
| Book title |
Learning in Non-Stationary Environments
|
| Published by |
Springer, New York, NY, January 2012
|
| DOI | 10.1007/978-1-4419-8020-5_6 |
| Book ISBNs |
978-1-4419-8019-9, 978-1-4419-8020-5
|
| Authors |
James Edward Smith, Muhammad Atif Tahir, Davy Sannen, Hendrik Van Brussel |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 6% |
| Czechia | 1 | 6% |
| Unknown | 14 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 19% |
| Student > Ph. D. Student | 3 | 19% |
| Professor > Associate Professor | 2 | 13% |
| Student > Bachelor | 1 | 6% |
| Other | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 4 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 38% |
| Business, Management and Accounting | 1 | 6% |
| Psychology | 1 | 6% |
| Decision Sciences | 1 | 6% |
| Energy | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 4 | 25% |