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 |
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