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 |
No Free Lunch versus Occam’s Razor in Supervised Learning
|
---|---|
Chapter number | 17 |
Book title |
Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence
|
Published in |
Lecture notes in computer science, January 2013
|
DOI | 10.1007/978-3-642-44958-1_17 |
Book ISBNs |
978-3-64-244957-4, 978-3-64-244958-1
|
Authors |
Tor Lattimore, Marcus Hutter |
Editors |
David L. Dowe |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 3% |
Italy | 1 | 2% |
Netherlands | 1 | 2% |
Belgium | 1 | 2% |
Luxembourg | 1 | 2% |
Unknown | 52 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 12 | 21% |
Researcher | 11 | 19% |
Student > Ph. D. Student | 11 | 19% |
Student > Doctoral Student | 5 | 9% |
Professor > Associate Professor | 5 | 9% |
Other | 11 | 19% |
Unknown | 3 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 30 | 52% |
Engineering | 9 | 16% |
Agricultural and Biological Sciences | 3 | 5% |
Philosophy | 2 | 3% |
Social Sciences | 2 | 3% |
Other | 6 | 10% |
Unknown | 6 | 10% |