Ensemble Machine Learning
Springer New York
Title |
Ensemble Machine Learning
|
---|---|
Published by |
Springer New York, April 2014
|
DOI | 10.1007/978-1-4419-9326-7 |
ISBNs |
978-1-4419-9325-0, 978-1-4899-8817-1, 978-1-4419-9326-7
|
Editors |
Zhang, Cha, Ma, Yunqian |
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 100% |
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Country | Count | As % |
---|---|---|
Germany | 2 | <1% |
United States | 2 | <1% |
Russia | 2 | <1% |
Brazil | 2 | <1% |
Canada | 2 | <1% |
Austria | 1 | <1% |
Australia | 1 | <1% |
Sweden | 1 | <1% |
Italy | 1 | <1% |
Other | 8 | <1% |
Unknown | 1506 | 99% |
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 248 | 16% |
Student > Ph. D. Student | 216 | 14% |
Student > Bachelor | 152 | 10% |
Researcher | 106 | 7% |
Student > Doctoral Student | 58 | 4% |
Other | 167 | 11% |
Unknown | 581 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 346 | 23% |
Engineering | 225 | 15% |
Agricultural and Biological Sciences | 54 | 4% |
Environmental Science | 37 | 2% |
Earth and Planetary Sciences | 33 | 2% |
Other | 210 | 14% |
Unknown | 623 | 41% |