8h25 | Opening of the workshop |
8h30 | PAC-Bayes Learning of Conjunctions and Classification of
Gene-Expression Data Mohak Shah and Mario Marchand abstract |
9h | Probabilistic
Computation
in Spiking Populations Rich Zemel abstract |
9h30 | Proximity Graphs for
Clustering
and Manifold Learning Miguel Carreira-Perpinan and Rich Zemel abstract |
9h50 | A Machine-Learning Approach to Musical Sequence Induction
That Uses Autocorrelation to Bridge Long Timelags Douglas Eck abstract |
10h20-10h40 | COFFEE BREAK |
10h40 | Sparse Greedy
Spectral
Clustering and Kernel PCA Marie Ouimet and Yoshua Bengio abstract slides (.pdf) |
10h50 | Neighbourhood
Component
Analysis Sam Roweis abstract |
11h20 | Learning
and Using Task-Oriented Computed Vision Models of Human Behavior Jesse Hoey abstract slides (.pdf) |
11h40 | Dealing with Class
Imbalances
with Synthetic Examples Benjamin Wang and Nathalie Japkowicz abstract slides (.ppt) |
12h10-13h50 | LUNCH BREAK |
13h50 | Learning the Density
Structure
of High-Dimensional Data Yoshua Bengio abstract slides (.pdf) |
14h20 | Outlier Detection in
Gene
Expression Data Improves Classification Accuracy François Major and Laurent Bréhélin abstract slides (.pdf) |
14h50 | Multiscale
Conditional
Random Fields for Image Labeling Xuming He, Rich Zemel and Miguel Carreira-Perpinan abstract slides (.pdf) |
15h-15h20 | COFFEE BREAK |
15h20 | A Segmental HMM for
Speech
Waveforms Kannan Achan, Sam Roweis and Brendan Frey abstract |
15h30 | Conditional Density
Estimation
with Extreme Observations Julie Carreau and Yoshua Bengio abstract slides (.pdf) |
15h40 | Multiple Alignment
of
Continuous Time Series Jenn Listgarten, Sam Roweis and Radford Neal abstract |
16h | Gene Expression Analysis Using Bayesian Networks Éric Paquet and François Major abstract slides (.ppt) |
16h20 | Boosting
on Manifolds: Adaptative Regularization of Base Classifiers Balázs Kégl and Ligen Wang abstract slides (.pdf) |
16h50 | CLOSE OF THE WORKSHOP |