Machine Learning (Theory)

4/8/2005

Fast SVMs

Tags: Papers,Supervised jl@ 9:57 am

There was a presentation at snowbird about parallelized support vector machines. In many cases, people parallelize by ignoring serial operations, but that is not what happened here—they parallelize with optimizations. Consequently, this seems to be the fastest SVM in existence.

There is a related paper here.

2 Comments to “Fast SVMs”
  1. For “fast”, take a look at this:
    http://www.cs.ust.hk/~jamesk/papers/jmlr05.pdf
    “…five million training patterns, in only 1.4 seconds on a 3.2GHz Pentium-4 PC.”

  2. [...] A basic question is: are there other approaches to speeding up learning algorithms which don’t incur the full complexity of option (3)? One approach is discussed here. [...]

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