Monday, July 09, 2007

Next 10 years of Structured Learning

ILP 07 had a discussion panel on next 10 years of structured learning. The video is now posted on Video Lectures

Here are couple of things that caught my eye

1. Bernhard Pfahringer -- someone should work on a centralized repository like, except for structured learning

2. Thomas Dietterich -- need a way to combine benefits of high-performance discriminative learning with semantics of generative models (for the purpose of being able to train various modules separately and then combine them)

3. Pedro Domingos -- current systems (logistic regression, perceptron, SVM) have 1 level of internal structure, need to work out ways to learn multi-tiered compact internal structure effectively

4. Pedro Domingos - - should craft algorithms for which tractable inference is the learning bias -- in other words, the algorithm is explicitly tailored to prefer models that are easy to do inference in


PierreD said...

For (2), this paper seems relevant :

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Arthur Mendoza said...

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