MLSP-L3: Learning Theory and Modeling |
| Session Type: Lecture |
| Time: Friday, May 21, 15:30 - 17:30 |
| Location: Mackenzie |
| Chair: Jan Larsen, Denmark Technological University |
| MLSP-L3.1: THEORY OF MONTE CARLO SAMPLING-BASED ALOPEX ALGORITHMS FOR NEURAL NETWORKS |
| Zhe Chen; McMaster University |
| Simon Haykin; McMaster University |
| Suzanna Becker; McMaster University |
| MLSP-L3.2: A MULTIMODAL VARIATIONAL APPROACH TO LEARNING AND INFERENCE IN SWITCHING STATE SPACE MODELS |
| Leo Lee; University of Waterloo, Canada / Microsoft Corporation |
| Hagai Attias; Microsoft Corporation |
| Li Deng; Microsoft Corporation |
| Paul Fieguth; University of Waterloo |
| MLSP-L3.3: AR MODEL PARAMETER ESTIMATION: FROM FACTOR GRAPHS TO ALGORITHMS |
| Sascha Korl; ETH Zürich |
| Hans-Andrea Loeliger; ETH Zürich |
| Allen Lindgren; University of Rhode Island |
| MLSP-L3.4: MINIMIZING THE FISHER INFORMATION OF THE ERROR IN SUPERVISED ADATIVE FILTER TRAINING |
| Jian-Wu Xu; University of Florida |
| Deniz Erdogmus; University of Florida |
| Jose C. Principe; University of Florida |
| MLSP-L3.5: A GENTLE HESSIAN FOR EFFICIENT GRADIENT DESCENT |
| Ronan Collobert; IDIAP |
| Samy Bengio; IDIAP |
| MLSP-L3.6: DIRICHLET-BASED PROBABILITY MODEL APPLIED TO HUMAN SKIN DETECTION |
| Nizar Bouguila; Université de Sherbrooke |
| Djemel Ziou; Université de Sherbrooke |
Home -||-
Organizing Committee -||-
Technical Committee -||-
Technical Program -||-
Plenaries
Paper Submission -||-
Special Sessions -||-
ITT -||-
Paper Review -||-
Exhibits -||-
Tutorials
Information -||-
Registration -||-
Travel Insurance -||-
Housing -||-
Workshops