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McKernel: Approximate Kernel Expansions in Log-linear Time through Randomization
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README.md

McKernel

McKernel: Approximate Kernel Expansions in Log-linear Time through Randomization.

For more information about the library, visit the website:

http://curto.hk/publication/mckernel/

If you use McKernel in a publication, please cite the paper below:

    @article{Curto19,
      author = "J. D. Curt\'o and H. C. Zarza and T. Kim",
      title = "{McKernel}: Approximate Kernel Expansions in Log-linear Time through Randomization",
      journal = "arXiv:1702.08159",
      year = "2019",
    }

Change Log

Version 2.2, released on 06/06/2019

Version 2.1, released on 04/06/2019

Version 2.0, released on 26/03/2019

Version 1.1, released on 24/01/2019

Version 1.0, released on 12/05/2018


File Information

  • Standard (mckernel/standard)
    • Library McKernel.
  • Standard+ (mckernel/sdd+)
    • Library McKernel. Pseudo-random numbers generated with hash functions. Suitable for distributed applications. Recommended.
  • Learning (mckernel/lg)
    • DL framework to reproduce experiments in the paper.
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