MLSP-L2: Kernel Machines |
Session Type: Lecture
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Time: Wednesday, May 17, 16:30 - 18:30
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Location: Caravelle 2
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Chair: Samy Bengio, IDIAP
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MLSP-L2.1: KERNEL DENSITY ESTIMATION, AFFINITY-BASED CLUSTERING, AND TYPICAL CUTS |
Deniz Erdogmus, Miguel A. Carreira-Perpinan, Umut Ozertem, Oregon Health & Science University, United States |
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MLSP-L2.2: AN EXPLICIT CONSTRUCTION OF A REPRODUCING GAUSSIAN KERNEL HILBERT SPACE |
Jian-Wu Xu, Puskal Pokharel, Kyu-Hwa Jeong, Jose Principe, University of Florida, United States |
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MLSP-L2.3: SEMI-SUPERVISED KERNEL METHODS FOR REGRESSION ESTIMATION |
Alexei Pozdnoukhov, Samy Bengio, IDIAP Research Institute, Switzerland |
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MLSP-L2.4: SPARSE FORWARD-BACKWARD USING MINIMUM DIVERGENCE BEAMS FOR FAST TRAINING OF CONDITIONAL RANDOM FIELDS |
Chris Pal, Charles Sutton, Andrew McCallum, University of Massachusetts, United States |
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MLSP-L2.5: GENERALIZED LINEAR KERNELS FOR ONE-VERSUS-ALL CLASSIFICATION: APPLICATION TO SPEAKER RECOGNITION |
Andrew Hatch, University of California, Berkeley, United States; Andreas Stolcke, SRI International, United States |
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MLSP-L2.6: CONTROLLING FALSE ALARMS WITH SUPPORT VECTOR MACHINES |
Mark Davenport, Richard Baraniuk, Clayton Scott, Rice University, United States |
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