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Mendeley readers
Chapter title |
Learning Deep Belief Networks from Non-stationary Streams
|
---|---|
Chapter number | 47 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2012
|
Published by |
Springer, Berlin, Heidelberg, September 2012
|
DOI | 10.1007/978-3-642-33266-1_47 |
Book ISBNs |
978-3-64-233265-4, 978-3-64-233266-1
|
Authors |
Roberto Calandra, Tapani Raiko, Marc Peter Deisenroth, Federico Montesino Pouzols, Calandra, Roberto, Raiko, Tapani, Deisenroth, Marc Peter, Pouzols, Federico Montesino |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 2% |
Malaysia | 1 | 1% |
United States | 1 | 1% |
Canada | 1 | 1% |
Unknown | 93 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 32 | 33% |
Researcher | 16 | 16% |
Student > Master | 15 | 15% |
Student > Bachelor | 10 | 10% |
Student > Doctoral Student | 4 | 4% |
Other | 13 | 13% |
Unknown | 8 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 47 | 48% |
Engineering | 17 | 17% |
Business, Management and Accounting | 4 | 4% |
Agricultural and Biological Sciences | 3 | 3% |
Mathematics | 3 | 3% |
Other | 11 | 11% |
Unknown | 13 | 13% |