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Saturday, November 10, 2012

Fast Functions via Randomized Algorithms: Fastfood versus Random Kitchen Sinks

I just noticed the following while reading Learning at Scale by Alex Smola: a randomized scheme that aims at replacing the Random Kitchen Sinks approximation to Kernel Learning at large scales. Random Kitchen Sinks were featured here a while back, Here is the site to learn more about Random Kitchen Sinks (or Random Features as they were called back then).
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I'll wait for the paper.



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2 comments:

  1. AnonymousWednesday, July 16, 2014 at 10:08:00 AM CDT

    I just read a couple papers from google about "their" fastfood algorithm. Basically it is a verbatim recitation of information I had on the google code website a few years ago. They have however made every effort not to acknowledge the originating source of the information. Fortunately I have deep pools of creativity to draw on while they are embalmed in their own dogma.

    ReplyDelete
  2. IgorWednesday, July 16, 2014 at 10:48:00 AM CDT

    Please send me email so we can discuss this offline.

    Cheers,

    Igor.

    ReplyDelete