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Mendeley readers
Chapter title |
Learning from Inconsistent and Unreliable Annotators by a Gaussian Mixture Model and Bayesian Information Criterion
|
---|---|
Chapter number | 36 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published in |
Lecture notes in computer science, September 2011
|
DOI | 10.1007/978-3-642-23808-6_36 |
Book ISBNs |
978-3-64-223807-9, 978-3-64-223808-6
|
Authors |
Ping Zhang, Zoran Obradovic, Zhang, Ping, Obradovic, Zoran |
Editors |
Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 6% |
Turkey | 1 | 6% |
Unknown | 16 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 39% |
Student > Master | 3 | 17% |
Researcher | 2 | 11% |
Student > Doctoral Student | 1 | 6% |
Unspecified | 1 | 6% |
Other | 2 | 11% |
Unknown | 2 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 50% |
Engineering | 4 | 22% |
Mathematics | 1 | 6% |
Medicine and Dentistry | 1 | 6% |
Unspecified | 1 | 6% |
Other | 0 | 0% |
Unknown | 2 | 11% |