AI & Statistics 2005

Poster Session 3

Saturday January 8 

 

1. Greedy Spectral Embedding
   Marie Ouimet and Yoshua Bengio
   
2. Dirichlet Enhanced Latent Semantic Analysis
   Kai Yu, Shipeng Yu and Volker Tresp
   
3. Semi-Supervised Classification by Low Density Separation
   Olivier Chapelle and Alexander Zien
   
4. FastMap, MetricMap, and Landmark MDS are all Nystrom Algorithms
   John Platt
   
5. On Manifold Regularization
   Misha Belkin, Partha Niyogi and Vikas Sindhwani
   
6. Approximations with Reweighted Generalized Belief Propagation
   Wim Wiegerinck
   
7. Streaming Feature Selection using IIC
   Lyle H. Ungar, Jing Zhou, Dean P. Foster and Bob A. Stine
   
8. Bayesian Conditional Random Fields
   Yuan Qi, Martin Szummer and Tom Minka
   
9. Toward Question-Asking Machines:
   The Logic of Questions and the Inquiry Calculus
   Kevin Knuth
   
10. Variational Speech Separation of More Sources than Mixtures
    Steven J. Rennie, Kannan Achan, Brendan J. Frey
    
11. Structured Variational Inference Procedures and their Realizations
    Dan Geiger and Chris Meek
    
12. Fast maximum a-posteriori inference on Monte Carlo state spaces
    Mike Klaas, Dustin Lang and Nando de Freitas