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Mendeley readers
Chapter title |
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
|
---|---|
Chapter number | 50 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-46128-1_50 |
Book ISBNs |
978-3-31-946127-4, 978-3-31-946128-1
|
Authors |
Hamed Karimi, Julie Nutini, Mark Schmidt |
Editors |
Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken |
Mendeley readers
The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | <1% |
Switzerland | 1 | <1% |
Canada | 1 | <1% |
Unknown | 180 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 49 | 27% |
Researcher | 20 | 11% |
Student > Bachelor | 17 | 9% |
Student > Master | 16 | 9% |
Student > Doctoral Student | 10 | 5% |
Other | 24 | 13% |
Unknown | 47 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 58 | 32% |
Engineering | 30 | 16% |
Mathematics | 29 | 16% |
Business, Management and Accounting | 3 | 2% |
Physics and Astronomy | 2 | 1% |
Other | 7 | 4% |
Unknown | 54 | 30% |