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| Chapter title |
Semi-random Model Tree Ensembles: An Effective and Scalable Regression Method
|
|---|---|
| Chapter number | 24 |
| Book title |
AI 2011: Advances in Artificial Intelligence
|
| Published by |
Springer, Berlin, Heidelberg, December 2011
|
| DOI | 10.1007/978-3-642-25832-9_24 |
| Book ISBNs |
978-3-64-225831-2, 978-3-64-225832-9
|
| Authors |
Bernhard Pfahringer |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Sweden | 1 | 4% |
| Germany | 1 | 4% |
| Australia | 1 | 4% |
| Unknown | 19 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 39% |
| Student > Ph. D. Student | 4 | 17% |
| Researcher | 2 | 9% |
| Student > Doctoral Student | 2 | 9% |
| Other | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 43% |
| Engineering | 3 | 13% |
| Economics, Econometrics and Finance | 1 | 4% |
| Social Sciences | 1 | 4% |
| Mathematics | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 7 | 30% |