Applied Intelligence, Volume 6, 1996

Volume 6, Number 1, January 1996

Frank D. Anger, Rita V. Rodríguez, Hans W. Guesgen, Johan van Benthem:
Space, Time, and Computation: Trends and Problems. 5-9
Hans W. Guesgen, Joachim Hertzberg:
Spatial Persistence. 11-28
Frank D. Anger, Rita V. Rodríguez:
Lattice Structure of Temporal Interval Relations. 29-38
Debasis Mitra, Rasiah Loganantharaj:
Experimenting with a Temporal Constraint Propagation Algorithm. 39-48
Kai Zimmermann, Christian Freksa:
Qualitative Spatial Reasoning Using Orientation, Distance, and Path Knowledge. 49-58
André Trudel:
Representing Allen`s Properties, Events, and Processes. 59-65

Yi Lu:
Knowledge Integration in a Multiple Classifier System. 75-86
Matjaz Gams, Matija Drobnic, Neda Karba:
Average-Case Improvements When Integrating ML and KA. 87-99
Figen Ulgen, Norio Akamatsu, Takenori Iwasa:
The Hypercube Separation Algorithm: A Fast and Efficient Algorithm for On-Line Handwritten Character Recognition. 101-116
Hahn-Ming Lee, Chia-Shing Lai:
Supervised Extended ART: A Fast Neural Network Classifier Trained by Combining Supervised and Unsupervised Learning. 117-128
Rudy Setiono, Huan Liu:
Improving Backpropagation Learning with Feature Selection. 129-139
Ronald R. Yager:
On the Interpretation of Fuzzy If Then Rules. 141-151
Seokwon Kim, Jin Hyung Kim:
Algorithm Recognition for Programming Tutoring Based on Flow Graph Parsing. 153-164
Nadim Obeid:
A Proof Procedure for Normal Default Theories. 165-175

Suzanna Becker, Mark Plumbley:
Unsupervised Neural Network Learning Procedures for Feature Extraction and Classification. 185-203
Yaser S. Abu-Mostafa, Amir F. Atiya:
Introduction to Financial Forecasting. 205-213
Marwan A. Jabri, Edward Tinker:
Classifier Architectures for Single Chamber Arrhythmia Recognition. 215-224
Figen Ulgen, Andrew C. Flavell, Norio Akamatsu:
On-Line Shape Recognition with Incremental Training Using Binary Synaptic Weights Algorithm. 225-240
Jean-Yves Potvin, Danny Dubé, Christian Robillard:
A Hybrid Approach to Vehicle Routing Using Neural Networks and Genetic Algorithms. 241-252

Sholom M. Weiss, Nitin Indurkhya:
Selecting the Right-Size Model for Prediction. 261-273
Young S. Han, Young C. Park, Key-Sun Choi:
Efficient Inferencing for Sigmoid Bayesian Networks by Reducing Sampling Space. 275-285
Didier Dubois, Hélène Fargier, Henri Prade:
Possibility Theory in Constraint Satisfaction Problems: Handling Priority, Preference and Uncertainty. 287-309
Subrata Kumar Das, Peter Hammond:
Managing Tasks Using an Interval-Based Temporal Logic. 311-323
Nga Kwok Liu:
Formal Verification of Some Potential Contradictions in Knowledge Base Using a High Level Net Approach. 325-343
Jean-Yves Potvin, Christophe Duhamel, François Guertin:
A Genetic Algorithm for Vehicle Routing with Backhauling. 345-355

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