Properties (33)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Person
|
| gptkbp:affiliation |
gptkb:University_of_California,_Berkeley
|
| gptkbp:awards |
Fellow_of_the_American_Academy_of_Arts_and_Sciences
Fellow_of_the_Association_for_the_Advancement_of_Artificial_Intelligence Fellow_of_the_Institute_of_Electrical_and_Electronics_Engineers |
| gptkbp:birthDate |
1936-02-17
|
| gptkbp:children |
Not publicly disclosed
|
| gptkbp:contribution |
Authored numerous influential papers.
Pioneered work in unsupervised learning. Developed algorithms for large-scale machine learning. Served on editorial boards of major journals. Contributed to the development of variational methods. |
| gptkbp:education |
Ph.D._from_the_University_of_California,_Berkeley
|
| gptkbp:field |
Artificial Intelligence
Computer Science Statistics |
| gptkbp:fullName |
gptkb:Michael_I._Jordan
|
| https://www.w3.org/2000/01/rdf-schema#label |
Michael I. Jordan
|
| gptkbp:image |
URL_to_image_of_Michael_I._Jordan
|
| gptkbp:influencedBy |
gptkb:David_Blackwell
gptkb:John_von_Neumann gptkb:Claude_Shannon |
| gptkbp:knownFor |
Machine Learning
|
| gptkbp:nationality |
American
|
| gptkbp:occupation |
Mathematician
|
| gptkbp:researchInterest |
Bayesian Inference
Optimization Reinforcement Learning Statistical Learning Theory Graphical Models |
| gptkbp:residence |
gptkb:Berkeley,_California
|
| gptkbp:spouse |
Not publicly disclosed
|
| gptkbp:website |
http://www.eecs.berkeley.edu/~jordan/
|