See here. I'm excited to see:
- Bayesian Multi-Population Haplotype Inference (Xing, Sohn, Jordan + Teh)
- Constructing Informative Priors using Transfer Learning (Raina, Ng + Koller)
- Disciminative Unsupervised Learning of Structured Predictors (Xu, Wilkinson, Southey + Schuurmans)
- Maximum Margin Planning (Ratliff, Bagnell + Zinkevich)
- Pachinko Allocation (Li + McCallum)
- Semi-supervised Learning for Structured Output Variables (Brefeld + Scheffer)
- Topic Modeling: Beyond Bag-of-Words (Wallach)
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