Properties (38)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
person
|
| gptkbp:academicAdvisor |
gptkb:David_J.C._MacKay
|
| gptkbp:almaMater |
gptkb:University_of_Cambridge
|
| gptkbp:author |
Information_Theory,_Inference_and_Learning_Algorithms
|
| gptkbp:awards |
IEEE Fellow
IET Fellow Royal_Society_Fellow |
| gptkbp:birthDate |
1960-12-12
|
| gptkbp:collaboratedWith |
various researchers in AI
various researchers in data science various researchers in information theory various researchers in machine learning various researchers in statistics |
| gptkbp:contribution |
developed algorithms for Bayesian inference
contributed to the understanding of neural networks pioneered research in error-correcting codes advocated for the use of probabilistic models in AI promoted the use of Bayesian methods in machine learning |
| gptkbp:deathDate |
2016-04-15
|
| gptkbp:field |
machine learning
information theory |
| https://www.w3.org/2000/01/rdf-schema#label |
D. J. C. MacKay
|
| gptkbp:influenced |
AI community
computer science community engineering community many researchers in machine learning data science community statistics community |
| gptkbp:influencedBy |
gptkb:Thomas_Bayes
|
| gptkbp:knownFor |
Bayesian methods
machine learning textbooks |
| gptkbp:nationality |
British
|
| gptkbp:occupation |
professor
|
| gptkbp:researchFocus |
artificial intelligence
neural networks data compression statistical inference pattern recognition |