MLSP-L3: Learning Theory II |
| Session Type: Lecture |
| Time: Thursday, May 18, 10:00 - 12:00 |
| Location: Ariane 1 & 2 |
| Chair: Mahesan Niranjan, University of Sheffield |
| MLSP-L3.1: NORMALIZED INFORMATION THEORETIC CRITERIA FOR BLIND SIGNAL EXTRACTION |
| Sergio Cruces, Ivan Duran-Diaz, University of Seville, Spain |
| MLSP-L3.2: OPTIMAL FILTERING FOR PARTIALLY OBSERVED POINT PROCESSES USING TRANS-DIMENSIONAL SEQUENTIAL MONTE CARLO |
| Arnaud Doucet, University of British Columbia, Canada; Luis Montesano, Universidad de Zaragoza, Spain; Ajay Jasra, Imperial College, United Kingdom |
| MLSP-L3.3: BAYESIAN INFERENCE FOR CONTINUOUS-TIME ARMA MODELS DRIVEN BY NON-GAUSSIAN LEVY PROCESSES |
| Simon Godsill, Gary (Ligong) Yang, University of Cambridge, United Kingdom |
| MLSP-L3.4: BAYESIAN L1-NORM SPARSE LEARNING |
| Yuanqing Lin, Daniel D. Lee, University of Pennsylvania, United States |
| MLSP-L3.5: A NORMALIZED MINIMUM ERROR ENTROPY STOCHASTIC ALGORITHM |
| Seungju Han, Sudhir Rao, Kyu-Hwa Jeong, Jose Principe, University of Florida, United States |
| MLSP-L3.6: A REWARD-DIRECTED BAYESIAN CLASSIFIER |
| Hui Li, Xuejun Liao, Lawrence Carin, Duke University, United States |
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