Name
Title | ||
|---|---|---|
Mathematical and Computational Foundations of Learning Theory (Dagstuhl Seminar 11291). |
Abstract | ||
|---|---|---|
The main goal of the seminar ``Mathematical and Computational Foundations of Learning Theoryu0027u0027 was to bring together experts from computer science, mathematics and statistics to discuss the state of the art in machine learning broadly construed and identify and formulate the key challenges in learning which have to be addressed in the future. This Dagstuhl seminar was one of the first meetings to cover the full broad range of facets of modern learning theory. The meeting was very successful and all participants agreed that such a meeting should take place on a regular basis. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.4230/DagRep.1.7.53 | Dagstuhl Reports |
Field | DocType | Volume |
Robot learning,Algorithmic learning theory,Multi-task learning,Stability (learning theory),Instance-based learning,Active learning (machine learning),Computer science,Artificial intelligence,Computational learning theory,Management science,Reinforcement learning | Journal | 1 |
Issue | Citations | PageRank |
7 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthias Hein | 1 | 663 | 62.80 |
| GáBor Lugosi | 2 | 1092 | 195.02 |
| Lorenzo Rosasco | 3 | 1070 | 82.90 |
| Steve Smale | 4 | 694 | 105.28 |