Name
Title | ||
|---|---|---|
A Deep Connection Between the Vapnik-Chervonenkis Entropy and the Rademacher Complexity. |
Abstract | ||
|---|---|---|
In this paper, we derive a deep connection between the Vapnik-Chervonenkis (VC) entropy and the Rademacher complexity. For this purpose, we first refine some previously known relationships between the two notions of complexity and then derive new results, which allow computing an admissible range for the Rademacher complexity, given a value of the VC-entropy, and vice versa. The approach adopted i... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TNNLS.2014.2307359 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Complexity theory,Entropy,Upper bound,Hamming distance,Annealing,Learning systems,Statistical learning | Journal | 25 |
Issue | ISSN | Citations |
12 | 2162-237X | 2 |
PageRank | References | Authors |
0.40 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Davide Anguita | 1 | 1001 | 70.58 |
| Alessandro Ghio | 2 | 667 | 35.71 |
| Luca Oneto | 3 | 830 | 63.22 |
| Sandro Ridella | 4 | 677 | 140.62 |