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| Chapter title |
Baum-Welch Algorithm
|
|---|---|
| Chapter number | 59 |
| Book title |
Encyclopedia of Machine Learning and Data Mining
|
| Published by |
Springer US, January 2017
|
| DOI | 10.1007/978-1-4899-7687-1_59 |
| Book ISBNs |
978-1-4899-7685-7, 978-1-4899-7687-1
|
| Editors |
Claude Sammut, Geoffrey I. Webb |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| France | 1 | 2% |
| Switzerland | 1 | 2% |
| Spain | 1 | 2% |
| Taiwan | 1 | 2% |
| Unknown | 40 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 24% |
| Researcher | 10 | 22% |
| Student > Master | 6 | 13% |
| Professor | 4 | 9% |
| Other | 4 | 9% |
| Other | 8 | 17% |
| Unknown | 3 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 30% |
| Engineering | 10 | 22% |
| Mathematics | 7 | 15% |
| Economics, Econometrics and Finance | 2 | 4% |
| Physics and Astronomy | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 4 | 9% |