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Technical Session - NNSP5 |
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| Session NNSP5: | Learning Theory and Algorithms II (Lecture) |
| Time and Place: | Friday, May 15, 1:00 pm - 3:00 pm, Room 604 |
| Chair: | J. Principe (University of Florida, USA) |
| 1:00 pm | NNSP5.1 Minimum Detection Error Training for Acoustic Signal Monitoring H. Watanabe, Y. Matsumoto, S. Katagiri (ATR Human Information Processing Labs, Japan); [abstract] [manuscript] |
| 1:15 pm | NNSP5.2 Fast Subspace Tracking and Neural Network Learning by a Novel Information Criterion Y. Miao, Y. Hua (University of Melbourne, Australia); [abstract] [manuscript] |
| 1:30 pm | NNSP5.3 Adaptive Regularization of Neural Networks Using Conjugate Gradient C. Goutte, J. Larsen (Technical University of Denmark, Denmark); [abstract] [manuscript] |
| 1:45 pm | NNSP5.4 Design of Robust Neural Network Classifiers J. Larsen, L. Andersen, M. Hintz-Madsen, L. Hansen (Technical University of Denmark, Denmark); [abstract] [manuscript] |
| 2:00 pm | NNSP5.5 Extraction of Independent Components from Hybrid Mixture: KuicNet Learning Algorithm and Applications S. Kung (Princeton University, USA); C. Mejuto (University of La Coruna, Spain); [abstract] [manuscript] |
| 2:15 pm | NNSP5.6 Why Natural Gradient? S. Amari (RIKEN Brain Science Institute, Japan); S. Douglas (University of Utah, USA); [abstract] [manuscript] |
| 2:30 pm | NNSP5.7 Neural Network Inversion of Snow Parameters by Fusion of Snow Hydrology Prediction and SSM/I Microwave Satellite Measurements Y. Wang, J. Hwang, C. Chen, L. Tsang, B. Nijssen, D. Lettenmaier (University of Washington, USA); [abstract] [manuscript] |
| 2:45 pm | NNSP5.8 A Piecewise Linear Recurrent Neural Network Structure and its Dynamics X. Liu (GlobeSpan Technologies Inc., USA); T. Adali, L. Demirekler (University of Maryland, Baltimore, USA); [abstract] [manuscript] |
| < NNSP4 |