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Mendeley readers
| Chapter title |
Information Divergence Geometry and the Application to Statistical Machine Learning
|
|---|---|
| Chapter number | 13 |
| Book title |
Information Theory and Statistical Learning
|
| Published by |
Springer, Boston, MA, January 2009
|
| DOI | 10.1007/978-0-387-84816-7_13 |
| Book ISBNs |
978-0-387-84815-0, 978-0-387-84816-7
|
| Authors |
Shinto Eguchi, Eguchi, Shinto |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 15% |
| Australia | 1 | 8% |
| Unknown | 10 | 77% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 46% |
| Student > Postgraduate | 2 | 15% |
| Professor > Associate Professor | 2 | 15% |
| Student > Doctoral Student | 1 | 8% |
| Lecturer > Senior Lecturer | 1 | 8% |
| Other | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 46% |
| Mathematics | 3 | 23% |
| Engineering | 2 | 15% |
| Agricultural and Biological Sciences | 1 | 8% |
| Unknown | 1 | 8% |