Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels

Shahin Shahrampour, Vahid Tarokh

Feb-13-2026, 11:17:36 GMT–Neural Information Processing Systems

Ourmethod, dubbed Multi Feature Greedy Approximation (MFGA), hasaccess features.

artificial intelligence, information processing system, machine learning, (13 more...)

Neural Information Processing Systems

Feb-13-2026, 11:17:36 GMT

Conferences PDF

Country:
- North America
  - United States
    - Texas > Brazos County
      - College Station (0.14)
    - North Carolina > Durham County
      - Durham (0.04)
  - Canada > Quebec
    - Montreal (0.04)
- Asia > Middle East
  - Jordan (0.04)

Technology:
- Information Technology > Artificial Intelligence > Machine Learning (1.00)

Duplicate Docs Excel Report

Title
Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels
Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels

Similar Docs Excel Report more

Title	Similarity	Source
None found