Radford M. Neal
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| Radford M. Neal | |
|---|---|
| Born | September 12, 1956 [1] |
| Residence | Toronto, Ontario, Canada |
| Citizenship | Canadian |
| Fields | Statistics, Machine Learning, Artificial Intelligence |
| Institutions | University of Toronto |
| Education | Ph.D in Computer Science, University of Toronto, 1995 |
| Alma mater | University of Calgary, University of Toronto |
| Thesis | Bayesian Learning for Neural Networks (1995) |
| Doctoral advisor | Geoffrey Hinton |
| Website www |
|
Radford M. Neal is a professor at the Department of Statistics and Department of Computer Science at the University of Toronto, where he holds a Research Chair in statistics and machine learning. He has made great contributions in the area of machine learning and statistics, where he is particular well known for his work on Markov chain Monte Carlo,[2][3] error correcting codes[4] and bayesian learning for neural networks.[5] He is also known for his blog[6] and the developer of pqR: a new version of the R interpreter.[7]
References
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