You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
|
---|---|
Chapter number | 28 |
Book title |
Machine Learning: ECML 2007
|
Published by |
Springer, Berlin, Heidelberg, September 2007
|
DOI | 10.1007/978-3-540-74958-5_28 |
Book ISBNs |
978-3-54-074957-8, 978-3-54-074958-5
|
Authors |
Mark Schmidt, Glenn Fung, Rómer Rosales |
Mendeley readers
The data shown below were compiled from readership statistics for 268 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 16 | 6% |
Germany | 6 | 2% |
China | 5 | 2% |
Hong Kong | 2 | <1% |
Spain | 2 | <1% |
Russia | 2 | <1% |
United Kingdom | 2 | <1% |
Brazil | 1 | <1% |
Australia | 1 | <1% |
Other | 5 | 2% |
Unknown | 226 | 84% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 100 | 37% |
Researcher | 51 | 19% |
Student > Master | 29 | 11% |
Professor > Associate Professor | 12 | 4% |
Other | 11 | 4% |
Other | 37 | 14% |
Unknown | 28 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 101 | 38% |
Engineering | 59 | 22% |
Mathematics | 24 | 9% |
Agricultural and Biological Sciences | 8 | 3% |
Earth and Planetary Sciences | 6 | 2% |
Other | 36 | 13% |
Unknown | 34 | 13% |