Monday, June 29, 2009

Machine Learning Reading Group (or Heavy Reading Group) Topics

Please add the topics you're interested in discussing for the 'Heavy' Reading Group then we can make a rough schedule.

The topics I'm interested in discussing are:

1. Conditional Random Fields
2. Sampling Techniques
3. Approximate Inference Techniques
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5 comments:

  1. hayleyJune 29, 2009 at 5:04 PM

    4. boosting

    ReplyDelete
  2. RogerJune 30, 2009 at 10:20 AM

    3. Approximate Inference Techniques

    ReplyDelete
  3. DeeBaaBooJune 30, 2009 at 12:00 PM

    5. Semi- supervised learning

    6. Manifold learning

    ReplyDelete
  4. HariJune 30, 2009 at 12:41 PM

    I am perhaps more interested in "philosophical" topics such as:
    (1) Discriminative vs generative modeling - found a NIPS paper on this.
    (2) How to select "optimal" features? Again i found a PAMI on this...
    (3) Supervised vs unsupervised learning.
    (4) How do you measure the complexity of a classifier?
    etc etc
    -Hari

    ReplyDelete
  5. paranoyaJuly 8, 2009 at 3:26 PM

    I am interested in most of the topics mentioned above and some others as well. To add a few:
    1. sequence learning
    2. learning from multiple experts
    oya

    ReplyDelete

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