• Mathematics, Computer Science
  • Published in J. Mach. Learn. Res. 2012

Algorithms for Learning Kernels Based on Centered Alignment

@article{Cortes2012AlgorithmsFL,
  title={Algorithms for Learning Kernels Based on Centered Alignment},
  author={Corinna Cortes and Mehryar Mohri and Afshin Rostamizadeh},
  journal={J. Mach. Learn. Res.},
  year={2012},
  volume={13},
  pages={795-828}
}
This paper presents new and effective algorithms for learning kernels. In particular, as shown by our empirical results, these algorithms consistently outperform the so-called uniform combination solution that has proven to be difficult to improve upon in the past, as well as other algorithms for learning kernels based on convex combinations of base kernels in both classification and regression. Our algorithms are based on the notion of centered alignment which is used as a similarity measure… CONTINUE READING

Figures, Tables, and Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 179 CITATIONS, ESTIMATED 98% COVERAGE

Kernel learning and optimization with Hilbert–Schmidt independence criterion

  • Int. J. Machine Learning & Cybernetics
  • 2018
VIEW 15 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Quantifying the Informativeness of Similarity Measurements

VIEW 5 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Kernel Methods for Protein-Protein Interaction Prediction

VIEW 9 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Multi-class kernel margin maximization for kernel learning

VIEW 26 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Oversampling the Minority Class in the Feature Space

  • IEEE Transactions on Neural Networks and Learning Systems
  • 2016
VIEW 23 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

An Empirical Study on Post-processing Methods for Word Embeddings

VIEW 10 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2012
2019

CITATION STATISTICS

  • 45 Highly Influenced Citations

  • Averaged 30 Citations per year from 2017 through 2019

  • 48% Increase in citations per year in 2019 over 2018