IJCNN 2000: Como, Italy

@proceedings{DBLP:conf/ijcnn/2000-2,
  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 2},
  booktitle = {IJCNN (2)},
  publisher = {IEEE},
  year      = {2000},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Plenary Talk

• Teuvo Kohonen:
  Self-Organizing Maps of Massive Document Collections. 3-12
  

Statistical Frameworks for Learning

• Tatsuhiko Nobori, Nobuyuki Matsui:
  Stochastic Resonance Neural Network and Its Performance. 13-17
  
• Jörg C. Lemm:
  Bayesian Field Theory: Nonparametric Approaches to Density Estimation. 18-22
  
• Koji Tsuda, Shotaro Akaho:
  Large Margin Classifier via Semiparametric Inference. 23-28
  
• Francesco Masulli, Giorgio Valentini:
  Parallel Non Linear Dichotomizers. 29-36
  

Neurocognition I

• Masayuki Kikuchi, Kunihiko Fukushima:
  Pattern Recognition with Eye Movement: A Neural Network Model. 37-40
  
• Jean-Paul Banquet, Yves Burnod, Philippe Gaussier, Arnaud Revel:
  A Hippocampal Model of Visually Guided Navigation as Implemented by a Mobile Agent. 41-48
  

Hardware Implementation I

• Tamás Szabó, Lörinc Antoni, Gábor Horváth, Béla Fehér:
  A Full-Parallel Digital Implementation for Pre-Trained NNs. 49-54
  
• Denis Teixeira Franco, Luigi Carro:
  FPGA Architecture Comparison for Non-Conventional Signal Processing. 55-58
  
• Bernard Girau:
  Building a 2D-Compatible Multilayer Neural Network. 59-64
  
• Yuzo Hirai, Kuninori Nishizawa:
  Hardware Implementation of a PCA Learning Network by an Asynchronous PDM Digital Circuit. 65-70
  
• Hiroomi Hikawa:
  Pulse Mode Multilayer Neural Network with Floating Point Operation and On-Chip Learning. 71-80
  

Special Session on 'From Subsymbolic Neural Network Representations to Symbols'

• Asim Roy:
  A Theory of the Brain: There Are Parts of the Brain That Control Other Parts. 81-86
  
• Bruno Apolloni, Christos Orovas, John G. Taylor, Winfried A. Fellenz, Stan C. A. M. Gielen, Machiel Westerdijk:
  A General Framework for Symbol and Rule Extraction in Neural Networks. 87-92
  
• Winfried A. Fellenz, John G. Taylor, Roddy Cowie, Ellen Douglas-Cowie, Frédéric Piat, Stefanos D. Kollias, Christos Orovas, Bruno Apolloni:
  On Emotion Recognition of Faces and of Speech Using Neural Networks, Fuzzy Logic and the ASSESS System. 93-98
  
• John G. Taylor, Neill R. Taylor, Bruno Apolloni, Christos Orovas:
  Constructing Symbols as Manipulable Structures by Recurrent Networks. 99-104
  
• Ron Sun:
  Beyond Simple Rule Extraction: The Extraction of Planning Knowledge from Reinforcement Learners. 105-112
  

Multilayer Perceptrons III

• D. Randall Wilson, Tony R. Martinez:
  The Inefficiency of Batch Training for Large Training Sets. 113-117
  
• Alois P. Heinz:
  Tree-Structured Neural Networks: Efficient Evaluation of Higher-Order Derivatives and Integrals. 118-122
  
• Takeshi Kamio, Shinichiro Tanaka, Mititada Morisue:
  Backpropagation Algorithm for Logic Oriented Neural Networks. 123-128
  
• Sven Buchholz, Gerald Sommer:
  A Hyperbolic Multilayer Perceptron. 129-136
  

Pattern Recognition I

• Kiyomi Nakamura, Noriki Kinoshita, Hirokazu Kanayama, Takashi Minami:
  Spreading Associative Neural Network Recognizes the Shape and Position of an Object Simultaneously. 137-142
  
• Fumiaki Takeda, Toshihiro Nishikage:
  Multiple Kinds of Paper Currency Recognition Using Neural Network and Application for Euro Currency. 143-147
  
• Terje Kristensen:
  A Neural Network Approach to Hyphenating Norwegian. 148-153
  
• Jani Lahtinen, Tomas Martinsen, Jouko Lampinen:
  Improved Rotational Invariance for Statistical Inverse in Electrical Impedance Tomography. 154-158
  
• Marcello Castellano, Giuseppe Mastronardi, Vitoantonio Bevilacqua, E. Nappi:
  Pattern Matching in High Energy Physics by Using Neural Network and Genetic Algorithm. 159-
  

Supervised Learning III

• Eiji Mizutani, Stuart E. Dreyfus, Kenichi Nishio:
  On Derivation of MLP Backpropagation from the Kelley-Bryson Optimal-Control Gradient Formula and Its Application. 167-172
  
• Andrew Hunter:
  Training Feedforward Neural Networks Using Orthogonal Iteration of the Hessian Eigenvectors. 173-178
  
• Pitoyo Hartono, Shuji Hashimoto:
  Effective Learning in Noisy Environment Using Neural Network Ensemble. 179-184
  
• Francesco Diotalevi, Maurizio Valle, Daniele D. Caviglia:
  Evaluation of Gradient Descent Learning Algorithms with an Adaptive Local Rate Technique for Hierarchical Feed Forward Architectures. 185-190
  
• Christian Goerick:
  Analyzing Learning Dynamics: How to Average?. 191-198
  

Neurocognition II

• Si Wu, Danmei Chen, Shun-ichi Amari:
  Unfaithful Population Decoding. 199-204
  
• Winfried A. Fellenz, John G. Taylor:
  The Hidden Layer Associative Memory Model of Hippocampus. 205-210
  
• Rafal Bogacz, Malcolm W. Brown, Christophe G. Giraud-Carrier:
  Frequency-Based Error Back-Propagation in a Cortical Network. 211-216
  
• Neill R. Taylor, John G. Taylor:
  Is There More to TSSG than Associative Chaining (Chunking and All That)? 217-224
  

Time Series Prediction I

• Hiroshi Wakuya, Jacek M. Zurada:
  Time Series Prediction by a Neural Network Model Based on the Bi-Directional Computation Style. 225-230
  
• Hirotaka Inoue, Hiroyuki Narihisa:
  Predicting Chaotic Time Series by Ensemble Self-Generating Neural Networks. 231-236
  
• Ray J. Frank, Neil Davey, Stephen P. Hunt:
  Input Window Size and Neural Network Predictors. 237-242
  
• Craig L. Fancourt, Jose C. Principe:
  On the Use of Neural Networks in the Generalized Likelihood Ratio Test for Detecting Abrupt Changes in Signals. 243-252
  

Symbolic and Sub-Symbolic Computation I

• Christo Panchev, Stefan Wermter:
  Complex Preferences for the Integration of Neural Codes. 253-258
  
• Alberto Paccanaro, Geoffrey E. Hinton:
  Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions. 259-264
  
• Peter Tiño, Michal Stancík, Lubica Benusková:
  Building Predictive Models on Complex Symbolic Sequences with a Second-Order Recurrent BCM Network with Lateral Inhibition. 265-270
  
• T. Wessels, Christian W. Omlin:
  Refining Hidden Markov Models with Recurrent Neural Networks. 271-278
  

Pattern Recognition II

• Ralf Kretzschmar, Hans Richner, Nicolaos B. Karayiannis:
  A Comparison of Feature Sets and Neural Network Classifiers on a Bird Removal Approach for Wind Profiler Data. 279-284
  
• Ajantha S. Atukorale, Tom Downs, Ponnuthurai N. Suganthan:
  On the Performance of the HONG Network for Pattern Classification. 285-290
  
• Zhe Chen, Tian-Jin Feng, Zweitze Houkes:
  Incorporating a priori Knowledge into Initialized Weights for Neural Classifier. 291-296
  
• Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene:
  Combining Neural Networks, Fuzzy Sets, and Evidence Theory Based Approaches for Analyzing Color Images. 297
  

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