SVM Regression Rates.pdf

2011-021.pdf
Preview of SVM Regression Rates
🔗 Source: f08.uni-stuttgart.de
📊 Size: 468 KB
📄 Pages: 39 pages
⬇️ Downloads: 89

Summary

Support vector machines (SVMs) using Gaussian kernels achieve optimal regression rates under standard smoothness assumptions on the target function, with learning rates that are essentially minimax optimal, and these rates can be adaptively achieved by a simple data-dependent parameter selection method.

Description

Support vector machines (SVMs) using Gaussian kernels achieve optimal regression rates under standard smoothness assumptions on the target function, with...

Technical Information

  • File Format: PDF
  • File Size: 468 KB
  • Pages: 39
  • Language: EN
  • Total Downloads: 89
  • Last Updated: 1 week ago

Document Overview

This PDF document about SVM Regression Rates provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into SVM Regression Rates.

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