12. Australian Joint Conference on Artificial Intelligence 1999: Sydney, Australia
Norman Y. Foo (Ed.): Advanced Topics in Artificial Intelligence, 12th Australian Joint Conference on Artificial Intelligence, AI '99, Sydney, Australia, December 6-10, 1999, Proceedings. Springer 1999 Lecture Notes in Computer Science ISBN 3-540-66822-5
Machine Learning I
- Mihai Lazarescu, Svetha Venkatesh, Geoff A. W. West: Classifying and Learning Cricket Shots Using Camera Motion. 13-23
Neural Nets
- Monzurur Rahman, Xinghuo Yu, Bala Srinivasan: A Neural Networks Based Approach for Fast Mining Characteristic Rules. 36-47
- Raouf Veliev, Alexander M. Rubinov, Andrew Stranieri: Neural Networks for Defuzification of Fuzzy Rules: An Application in Macroeconomic Forecasting. 60-71
Knowledge Representation I
- John K. Debenham: Representing "Just Invalid" Knowledge. 84-95
- Julio Rosenblatt: Maximising Expected Utility for Behaviour Arbitration. 96-108
Natural Language
- Janine Toole: Categorizing Unknown Words: A Decision Tree-Based Misspelling Identifier. 122-133
- Shigeki Matsubara, Katsuhiko Toyama, Yasuyoshi Inagaki: Sync/Trans: Simultaneous Machine Interpretation between English and Japanese. 134-143
Belief Revision
- Oliver Schulte: Minimal Belief Change and Pareto-Optimality. 144-155
- Thomas Andreas Meyer: Basic Infobase Change. 156-167
- Wei Liu, Mary-Anne Williams: A Framework for Multi-Agent Belief Revision, Part I: The Role of Ontology. 168-179
Adaptive Algorithms
- Andreas Alexander Albrecht, Kathleen Steinhöfel: A Simulated Annealing-Based Learning Algorithm for Boolean DNF. 193-204
Automated Reasoning
- Thomas Mantay: Computing Least Common Subsumers in Expressive Description Logics. 218-230
- Gernot Stenz, Andreas Wolf: E-SETHEO: Design, Configuration and Use of a Parallel Automated Theorem Prover. 231-243
Neural Learning
- Robert Cox, David Clark, Alice Richardson: An Investigation into the Effect of Ensemble Size and Voting Threshold on the Accuracy of Neural Network Ensembles. 268-277
Knowledge Representation II
- Wei Li: A Logical Framework for Inductive Inference and Its Rationality. 304-315
Heuristics
- Ian Horrocks, Lin Padgham, Laura Thomson: Feasibility of Optimised Disjunctive Reasoning for Approximate Matching. 328-339
- Masahito Kurihara, Hisashi Kondo: Heuristics and Experiments on BDD Representation of Boolean Functions for Expert Systems in Software Verification Domains. 353-364
Knowledge Representation III
- Mikhail Prokopenko, Maurice Pagnucco, Pavlos Peppas, Abhaya C. Nayak: Causal Propagation Semantics - A Study. 378-392
- Nathalie Jitnah, Ann E. Nicholson: Arc Weights for Approximate Evaluation of Dynamic Belief Networks. 393-404
Machine Learning II
- Murlikrishna Viswanathan, Chris S. Wallace, David L. Dowe, Kevin B. Korb: Finding Cutpoints in Noisy Binary Sequences - A Revised Empirical Evaluation. 405-416
- Chris Gaskett, David Wettergreen, Alexander Zelinsky: Q-Learning in Continuous State and Action Spaces. 417-428
Applications
- Victor Korotkikh, Noel Patson: On Understanding Global Behavior of Teams in Robot Soccer Simulators. 429-439
- Alexander Zelinsky: Visual Human-Machine Interaction. 440-452
- Edmund K. Burke, Graham Kendall: Applying Ant Algorithms and the No Fit Polygon to the Nesting Problem. 453-464
Poster Papers (Extended Summary)
- Yasufumi Takama, Mitsuru Ishizuka: Fisheye Matching: Viewpoint-Sensitive Feature Generation Based on Concept Structure. 465-466
- M. R. K. Krishna Rao, Abdul Sattar: Learning Logic Programs with Local Variables from Positive Examples. 469-471
- Michael Mayo, Antonija Mitrovic: Estimating Problem Value in an Intelligent Tutoring System Using Bayesian Networks. 472-473
- Masafumi Matsuhara, Kenji Araki, Yoshio Momouchi, Koji Tochinai: Evaluation of Number-Kanji Translation Method of Non-Segmented Japanese Sentences Using Inductive Learning with Degenerated Input. 474-475
- Zili Zhang, Chengqi Zhang: A Serving Agent for Integrating Soft Computing and Software Agents. 476-477
- Paul Crowther: A Visual Geographic Knowledge Classification and Its Relationship to the KADS Model. 478-479
- William S. Havens, Randy Goebel, Jean Berger, René Proulx: A Constraint Optimization Framework for MultiAgent Anytime Scheduling. 480-481
- Bret Talko, Linda Stern, Leslie J. Kitchen: Evolving Modular Neural Networks Using Rule-Based Genetic Programming. 482-483
- Elise Dettmann, Ann E. Nicholson, Liz Sonenberg, Kaye Stacey, Vicki Steinle: Bayesian Reasoning for Diagnosing Student Misconceptions about Decimals. 486-487
- Mary Lou Maher, Peter Xianghua Wu: Reconsidering Fitness and Covergence in Co-evolutionary Design. 488-489
- Tsuyoshi Nakamura, Lifeng He, Hidenori Itoh: A Proposal of Generating Artistic Japanese Calligraphic Fonts. 490-491
- Wen-Gong Chen, Chen-Sen Ouyang, Shie-Jue Lee: Using Competitive Learning in Neural Networks for Cluster-Detection-and-Labeling. 492-493
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