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 |
Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks
|
---|---|
Chapter number | 34 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer Berlin Heidelberg, January 2014
|
DOI | 10.1007/978-3-662-44848-9_34 |
Book ISBNs |
978-3-66-244847-2, 978-3-66-244848-9
|
Authors |
Caglar Gulcehre, Kyunghyun Cho, Razvan Pascanu, Yoshua Bengio |
Editors |
Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo |
Mendeley readers
The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
Germany | 1 | <1% |
Canada | 1 | <1% |
Netherlands | 1 | <1% |
Japan | 1 | <1% |
Singapore | 1 | <1% |
Unknown | 136 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 50 | 35% |
Student > Master | 21 | 15% |
Researcher | 14 | 10% |
Other | 13 | 9% |
Student > Bachelor | 8 | 6% |
Other | 14 | 10% |
Unknown | 24 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 74 | 51% |
Engineering | 18 | 13% |
Agricultural and Biological Sciences | 6 | 4% |
Mathematics | 6 | 4% |
Energy | 3 | 2% |
Other | 13 | 9% |
Unknown | 24 | 17% |