Morning session: 7:30am–10:30am

7:30pm Learning from Multiple Sources by Matching Their Distributions

1. -T. Scheffer (55 minutes)
   

8:25am Multiview Clustering via Canonical Correlation Analysis

1. -K. Livescu, K. Sridharan, S. Kakade and K. Chaudhuri (20 minutes)
   

8:45am Semi-Supervised Dimensionality Reduction via Canonical Correlation Analysis

1. -S. Kakade, D. Foster and T. Zhang (20 minutes)
   

9:05am Coffee Break (15 minutes - Posters should be put up at this time)

9:20am The Double-Barrelled LASSO (Sparse Canonical Correlation Analysis)

1. -D. R. Hardoon and J. Shawe-Taylor (20 minutes)
   

9:40am Poster Spotlights (10 minutes)

1. •Learning Shared and Separate Features of Two Related Data Sets using GPLVMs
   

2. -G. Leen and C. Fyfe
   

3. •Selective Multitask Learning by Coupling Common and Private Representations
   

4. -J. Madrid-Sanchez, E. Parrado-Hernandez and A. Figueiras-Vidal
   

5. •Regression Canonical Correlation Analysis
   

6. -J. Rupnik and B. Fortuna
   

7. •Multiview Learning with Labels
   

8. -T. Diethe, D. R. Hardoon and J. Shawe-Taylor
   

9:50am Poster Session (40 minutes, but can continue into lunch)

1. •On Asymptotic Generalization Error of Asymmetric Multitask Learning
   

2. -K. Yamazaki and S. Kaski
   

3. •A Maximal Eigenvalue Method for Detecting Process Representative Genes by Integrating Data from Multiple Sources
   

4. -H. Yang, P. Bhat, H. Shanahan and A. Paccanaro
   

5. •Clustering by Heterogeneous Data Fusion: Framework and Applications
   

6. -S. Yu, B. de Moor and Y. Moreau
   

7. •Online Learning of Multiple Cues
   

8. -L. Jie, F. Orabona and B. Caputo
   

9. •Variational Bayes Learning from Relevant Tasks Only
   

10. -J. Peltonen, Y. Yaslan and S. Kaski
    

11. •Active Learning with Extremely Sparse Labeled Examples
    

12. -S. Sun
    

13. •Semantic Dimensionality Reduction for the Classification of EEG According to Musical  Tonality
    

14. -T. Diethe, S. Durrant, J. Shawe-Taylor and H. Neubauer
    

15. •KCCA Based Audio-Visual Speech Recognition
    

16. -B. Hall, J. Shawe-Taylor and A. Johnston
    

Afternoon session: 3:30pm–6:30pm

3:30am Challenges of Supervised Learning from Multiple Sources

1. - F. Bach (55 minutes)
   

4:25pm GP-LVM for Data Consolidation

1. -C. Ek, P. Torr and N. Lawrence (20 minutes)
   

4:45pm Two-level Infinite Mixture for Multi-Domain Data

1. -S. Rogers, J. Sinkkonen, A. Klami, M. Girolami and S. Kaski (20 minutes)
   

5:05pm Coffee Break (15 minutes)

5:20pm Probabilistic Models for Data Combination in Recommender Systems

1. -S. Williamson and Z. Ghahramani (20 minutes)
   

5:40pm Classification from Disparate Multiple Streaming Data Sources

1. -A. Talukder and S. Ho (20 minutes)
   

6:00pm Discussion & Future Directions (30 minutes)