IJCNN 2000:
Como,
Italy
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000, Volume 3.
IEEE 2000 BibTeX
@proceedings{DBLP:conf/ijcnn/2000-3,
title = {Proceedings of the IEEE-INNS-ENNS International Joint Conference
on Neural Networks, IJCNN 2000, Neural Computing: New Challenges
and Perspectives for the New Millennium, Como, Italy, July 24-27,
2000, Volume 3},
booktitle = {IJCNN (3)},
publisher = {IEEE},
year = {2000},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Recurrent Networks I
- Alessio Micheli, Diego Sona, Alessandro Sperduti:
Bi-Causal Recurrent Cascade Correlation.
3-8
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- Pablo Zegers, Malur K. Sundareshan:
Periodic Motions, Mapping Ordered Sequences, and Training of Dynamic Neural Networks to Generate Continuous and Discontinuous Trajectories.
9-14
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- Miroslaw Galicki, Lutz Leistritz, Herbert Witte:
Improved Learning of Multiple Continuous Trajectories with Initial Network State.
15-20
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- Lai-Wan Chan, Chi-Cheong Szeto:
Weight Groupings in the Training of Recurrent Networks.
21-26
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- Romuald Boné, Michel Crucianu, Gilles Verley, Jean Pierre Asselin de Beauville:
A Bounded Exploration Approach to Constructive Algorithms for Recurrent Neural Networks.
27-34
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Special Session on 'Techniques to Improve Human Understanding of Complex Neural Systems'
- Michael J. Healy:
Category Theory Applied to Neural Modeling and Graphical Representations.
35-40
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- Kim M. Edlund, Thomas P. Caudell:
Realtime Visualization of the Learning Processes in the LAPART Neural Architecture as it Controls a Simulated Autonomous Vehicle.
41-46
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- A. Agogino, Joydeep Ghosh, Stavros J. Perantonis, Vassilis Virvilis, Sergios Petridis, Paulo J. G. Lisboa:
The Role of Multiple, Linear-Projection Based Visualization Techniques in RBF-Based Classification of High Dimensional Data.
47-52
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- Karen G. Haines, Kim M. Edlund, Thomas P. Caudell, Barak A. Pearlmutter, John A. Moya:
Visualizing Communication between Neurons in the Lamina Ganglionaris of Musca domestica.
53-60
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Special Session on 'Adaptive Critic Design I'
Function Approximation I
Spiking Neural Networks I
Pattern Recognition III
Unsupervised Learning I
Learning and Memory
Special Session on 'Adaptive Critic Design II'
Function Approximation II
- Sambu Seo, Marko Wallat, Thore Graepel, Klaus Obermayer:
Gaussian Process Regression: Active Data Selection and Test Point Rejection.
241-246
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- Nobuyuki Matsui, Noriaki Kouda, Haruhiko Nishimura:
Neural Network Based on QBP and Its Performance.
247-252
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- Kenji Nakayama, Akihiro Hirano, Aki Kanbe:
A Structure Trainable Neural Network with Embedded Gating Units and Its Learning Algorithm.
253-258
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- Richard E. Groff, Daniel E. Koditschek, Pramod P. Khargonekar:
Piecewise Linear Homeomorphisms: The Scalar Case.
259-264
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- Jaroslaw Chrobak, Andrzej Pacut, Andrzej Karbowski:
Dynamic Programming with ARMA, Markov, and NARMA Models vs. Q-Learning: Case Study.
265-272
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Spiking Neural Networks II
Face Recognition
Blind Signal Separation
Independent Component Analysis I
Principal Component Analysis
- Chi-Hyon Oh, Hirokazu Komatsu, Katsuhiro Honda, Hidetomo Ichihashi:
Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables.
377-380
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- Darryl Charles, Colin Fyfe:
Kernel Factor Analysis with Varimax Rotation.
381-386
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- Kazuyuki Hiraoka, Shuji Yoshizawa, Ken-ichi Hidai, Masashi Hamahira, Hiroshi Mizoguchi, Taketoshi Mishima:
Convergence Analysis of Online Linear Discriminant Analysis.
387-391
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- Simone Fiori, Saverio Costa, Pietro Burrascano:
Improved psi-APEX Algorithm for Digital Image Compression.
392-400
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Rule Extraction
Symbolic and Sub-Symbolic Computation II
Multilayer Perceptrons IV
Hardware Implementation II
Hardware Implementation III
Hardware Implementation IV
Classification II
Clustering I
Radial Basis Function Networks I
Medical Applications II
- Arthur Flexer, Peter Sykacek, Georg Dorffner, Iead Rezek:
Using Hidden Markov Models to Build an Automatic, Continuous and Probabilistic Sleep Stager.
627-631
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- José del R. Millán, Josep Mouriño, Fabio Babiloni, Febo Cincotti, Markus Varsta, Jukka Heikkonen:
Local Neural Classifier for EEG-Based Recognition of Mental Tasks.
632-636
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- Giovanni Magenes, Maria G. Signorini, Domenico Arduini:
Classification of Cardiotocographic Records by Neural Networks.
637-641
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- Onsy Abdel Alim, Hania Farag:
Modeling Non-Individualized Binaural Sound Localization in the Horizontal Plane Using Artificial Neural Networks.
642-650
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Medical Applications III
- Li Yuan Mi, Mitra Basu, Susannah Fritton, Stephen Cowin:
Study of Site-Specific Bone Formation Using a Neural Network Model.
651-654
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- Zheng Rong Yang, Weiping Lu, Dejin Yu, Robert G. Harrison:
Detecting False Benign in Breast Cancer Diagnosis.
655-658
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- Hong Zhang, Zhen Zhang, Alan W. Partin:
Neural Network Based Systems for Prostate Cancer Stage Prediction.
659-662
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- Frank R. Funderburk, Karen I. Bolla, Jean-Lud Cadet:
Multilayer Perceptrons Can Predict Cognitive Status during Recovery from Chronic Substance Misuse: Implications for Individualized Treatment Planning.
663
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Copyright © Sat May 16 23:23:32 2009
by Michael Ley (ley@uni-trier.de)
