Machine Learning (Theory)

9/19/2005

Who? What? Why?

Tags: — jl@ 4:58 pm

This is an experiment in the application of a blog to academic research in machine learning and learning theory by John Langford. Exactly where this experiment takes us and how the blog will turn out to be useful (or not) is one of those prediction problems we so dearly love in machine learning.

There are a number of other people who have contributed posts including Drew Bagnell, Sanjoy Dasgupta, Hal Daume, and Alex Gray. Posts, ideas for posts, and suggestions from other people will be actively considered—just email John Langford.

5 Comments to “Who? What? Why?”
  1. Avleen Singh says:

    Genetic Algorithms are perhaps out of favor from conferences like NIPS/ICML, but if a problem..an important one in ML, necessitates a GA based optimization, can one expect mercy from the reviewers or is one better off looking for…lets say concrete optimization techniques?

  2. Albert Zeyer says:

    I have created a Twitter feed which is based on this sites RSS-feed:

    http://twitter.com/hunchnet

    Maybe that is useful to someone.

  3. Jean says:

    John’s Machine Learning blog has been mentioned in the list programming and software development blogs here-> http://www.talkora.com/technology/List-of-programming-and-software-development-blogs_105 (look for entry #21 in the list)

  4. Aundre says:

    What a plsreuae to find someone who thinks through the issues

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