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 |
Regularized Sparse Kernel Slow Feature Analysis
|
---|---|
Chapter number | 25 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer Berlin Heidelberg, January 2011
|
DOI | 10.1007/978-3-642-23780-5_25 |
Book ISBNs |
978-3-64-223779-9, 978-3-64-223780-5
|
Authors |
Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer |
Editors |
Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 30% |
Researcher | 4 | 20% |
Professor | 4 | 20% |
Student > Master | 3 | 15% |
Other | 1 | 5% |
Other | 2 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 60% |
Mathematics | 3 | 15% |
Engineering | 2 | 10% |
Neuroscience | 1 | 5% |
Earth and Planetary Sciences | 1 | 5% |
Other | 0 | 0% |
Unknown | 1 | 5% |