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Mendeley readers
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 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 3% |
Switzerland | 3 | 3% |
United Kingdom | 2 | 2% |
France | 1 | <1% |
South Africa | 1 | <1% |
Canada | 1 | <1% |
Singapore | 1 | <1% |
India | 1 | <1% |
China | 1 | <1% |
Other | 3 | 3% |
Unknown | 97 | 84% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 37 | 32% |
Researcher | 25 | 22% |
Student > Master | 12 | 10% |
Professor | 10 | 9% |
Other | 6 | 5% |
Other | 18 | 16% |
Unknown | 7 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 43 | 37% |
Engineering | 23 | 20% |
Mathematics | 12 | 10% |
Agricultural and Biological Sciences | 8 | 7% |
Physics and Astronomy | 7 | 6% |
Other | 13 | 11% |
Unknown | 9 | 8% |