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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 1. IEEE Computer Society 2000, ISBN 0-7695-0619-4
Supervised Learning I
- Masumi Ishikawa, Hirohito Shimada, Shun-ichi Amari:
Iterative Design of Regularizers Based on Data by Minimizing Generalization Errors. 3-8 - Joumana Ghosn, Yoshua Bengio:
Bias Learning, Knowledge Sharing. 9-14 - Masashi Sugiyama, Hidemitsu Ogawa:
Incremental Active Learning with Bias Reduction. 15-20 - George D. Magoulas
, Vassilis P. Plagianakos, Michael N. Vrahatis:
Development and Convergence Analysis of Training Algorithms with Local Learning Rate Adaptation. 21-26 - Marco Muselli:
Predicting the Generalization Ability of Neural Networks Resembling the Nearest-Neighbor Algorithm. 27-34
Special Session on 'Global Brain'
- John G. Taylor:
A General Framework for the Functions of the Brain. 35-40 - John G. Taylor, Neill R. Taylor, Raju S. Bapi, Guido Bugmann, Daniel S. Levine:
The Frontal Lobes and Executive Function. 41-46 - Pentti O. A. Haikonen:
A Modular Neural System for Machine Cognition. 47-52
System Identification I
- Ivan Petrovic, Mato Baotic, Nedjeljko Peric:
Model Structure Selection for Nonlinear System Identification Using Feedforward Neural Networks. 53-57 - Manuel Pinzolas, J. J. Ibarrola, J. López:
A Neurofuzzy Scheme for On-Line Identification of Non-Linear Dynamical Systems with Variable Transfer Function. 58-63 - Chandra Kambhampati, F. Garces, Kevin Warwick:
Approximation of Non-Autonomous Dynamic Systems by Continuous Time Recurrent Neural Networks. 64-69 - Aldo Balestrino, Andrea Caiti
Approximation of Hammerstein/Wiener Dynamic Models. 70-74 - A. Fichera, Giovanni Muscato, Maria Gabriella Xibilia
Modeling Unstable Behavior of a Natural Circulation Loop with a Neural Network. 75-84
Classification I
- Sameer Singh:
Classification of Helical Structures. 85-89 - László Kovács, Gábor Terstyánszky:
Boundary Region Sensitive Classification for the Counterpropagation Neural Network. 90-94 - Donna L. Hudson, Maurice E. Cohen:
Focus of Attention in a Neural Network Using Meta Knowledge. 95-99 - Katheryn Margaret Adeney, Michael J. Korenberg:
Target Adaptation to Improve the Performance of Least-Squared Classifiers. 100-105 - Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
The K-Winner Machine Model. 106-113
Multilayer Perceptrons I
- Steve Lawrence, C. Lee Giles
Overfitting and Neural Networks: Conjugate Gradient and Backpropagation. 114-119 - Jinglu Hu, Kotaro Hirasawa:
Overlapped Multi-Neural-Network: A Case Study. 120-125 - Nikolaos Ampazis, Stavros J. Perantonis:
Levenberg-Marquardt Algorithm with Adaptive Momentum for the Efficient Training of Feedforward Networks. 126-131 - Adiel Ismail, Andries P. Engelbrecht:
Global Optimization Algorithms for Training Product Unit Neural Networks. 132-137 - Stavros J. Perantonis, Nikolaos Ampazis, S. Spirou:
Training Feedforward Neural Networks with the Dogleg Method and BFGS Hessian Updates. 138-145
Image Processing I
- Akira Hirose, Katsuhiko Hiramatsu:
Proposal of Complex-Valued Region-Based-Coupling Segmentation Neural Networks and the Application to Radar Imaging Systems. 146-151 - Gunther Heidemann, Dirk Lücke, Helge J. Ritter:
Segmentation of Partially Occluded Objects by Local Classification. 152-157 - Djamel Brahmi, Camille Serruys, Alain Giron, Bernard Fertil, Nathalie Cassoux, Phuc Lehoang:
Segmentation of Virus-Infected areas in Retinal Angiograms Using a Learning-by-Sample Approach. 158-162 - Frank E. McFadden, Scott A. Musman:
Optimizing Ship Length Estimates from ISAR Images. 163-168 - Natalija Vlajic, Thomas Kunz, Howard C. Card:
Image-Compression for Wireless World Wide Web Browsing: A Neural Network Approach. 169-176
Plenary Talk
- John G. Taylor:
Towards Understanding Images of the Mind. 177-184 - Sin Chun Ng, Shu Hung Leung, Andrew Luk:
A Weight Evolution Algorithm with Deterministic Perturbation. 185-190 - Mercedes Fernández-Redondo, Carlos Hernández-Espinosa:
On the Combination of Weight-Decay and Input Selection Methods. 191-196 - Ryotaro Kamimura:
Conditional Information Analysis. 197-202 - Ryotaro Kamimura:
Selective Information Acquisition with Application to Pattern Classification. 203-210
Neurobiology
- Michael Tadross, Cameron Whitehouse, Melissa Hornstein, Vicky Eng, Evangelia Micheli-Tzanakou:
A Three-Dimensional Physiologically Realistic Model of the Retina. 211-216 - Kazuro Shimokawa, Shigeru Muraki:
A Study on Spatial and Temporal Visual Simulation of Nerve Excitement Propagation. 217-221 - Simona Doboli, Ali A. Minai:
Network Capacity for Latent Attractor Computation. 222-227 - Basabi Bhaumik, Chota M. Markan:
Orientation Map: A Reaction-Diffusion Based Model. 228-233 - Toshitaka Sugimoto, Akira Iwata, Koji Oguri:
A Gustatory Information-Processing Model for the Evaluation of Taste Preference. 234-241
Non-Linear Control I
- Hongping Chen, Kotaro Hirasawa, Jinglu Hu, Junichi Murata:
Min Max Control of Nonlinear Systems Using Universal Learning Networks. 242-247 - Dragan Obradovic:
Stability and Performance Robustness Issues in Neural Network Feedback Linearization. 248-253 - Hiroaki Nakanishi, Koichi Inoue:
Methods to Design Robust Controllers against Nonlinear and Multiple Uncertainties by Use of Neural Networks. 254-259 - Jochen J. Steil:
Robust Control in Closed Loops Realized by Fast Signal Transmission of Infinite Gain Neurons. 260-265 - Gary G. Yen, Liang-Wei Ho:
Intelligent Fault Tolerant Control Using Artificial Neural Networks. 266-276
Special Session on 'Neural Networks and Geometry'
- Vera Kurková
Comparison of Rates of Linear and Neural Network Approximation. 277-282 - Saverio Giulini, Marcello Sanguineti:
On Dimension-Independent Approximation by Neural Networks and Linear Approximators. 283-288 - Andrew Vogt:
Should Activation Functions be Affinely Recursive?. 289-292 - Roman Neruda:
Genetic Algorithms and Neural Networks: Making Use of Parameter Space Symmetries. 293-298 - Paul C. Kainen:
Convex Geometry and Nonlinear Approximation. 299-304
Multilayer Perceptrons II
- Yoshua Bengio:
Continuous Optimization of Hyper-Parameters. 305-310 - Mario Costa, Davide Palmisano, Eros Pasero:
Gradient Descent in Feed-Forward Networks with Binary Neurons. 311-316 - Aki Vehtari, Simo Särkkä, Jouko Lampinen:
On MCMC Sampling in Bayesian MLP Neural Networks. 317-322 - Vladimir A. Golovko, Yury Savitsky, Anatoly Sachenko, Theodore Laopoulos, Lucio Grandinetti:
Technique of Learning Rate Estimation for Efficient Training of MLP. 323-330
Medical Applications I
- Vittorio Sanguineti
Analysis of fMRI Time Series with Mixtures of Gaussians. 331-335 - Dimitris A. Karras
MR Image Reconstruction from Sparsely Sampled Scans Based on Multilayer Perceptrons and Using Regularization Techniques. 336-341 - Keir Bovis, Sameer Singh, Jonathan E. Fieldsend, Chris Pinder:
Identification of Masses in Digital Mammograms with MLP and RBF Nets. 342-347 - Tim W. Nattkemper, Heiko Wersing, Helge J. Ritter, Walter Schubert:
Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding. 348-353 - Faiza Behloul, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, Marc Janier:
A Neuro-Fuzzy System for Automatic Assessment of Myocardial Viability in Positron Emission Tomography. 354
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