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ORCID15. Australian Joint Conference on Artificial Intelligence 2002: Canberra, Australia
- Bob McKay
, John K. Slaney:
AI 2002: Advances in Artificial Intelligence, 15th Australian Joint Conference on Artificial Intelligence, Canberra, Australia, December 2-6, 2002, Proceedings. Lecture Notes in Computer Science 2557, Springer 2002, ISBN 3-540-00197-2
Natural Language and Information Retrieval
- Debbie Richards, Kathrin Böttger, Oscar Aguilera:
A Controlled Language to Assist Conversion of Use Case Descriptions into Concept Lattices. 1-11 - Kyongho Min, William H. Wilson, Yoo-Jin Moon:
Preferred Document Classification for a Highly Inflectional/Derivational Language. 12-23 - Ingrid Zukerman, Bhavani Raskutti, Yingying Wen:
Experiments in Query Paraphrasing for Information Retrieval. 24-35
Knowledge Representation and Reasoning
- Marina De Vos, Dirk Vermeir:
Dynamic Decision-Making in Logic Programming and Game Theory. 36-47 - Akira Fusaoka:
On a Linear Representation Theory for Quantitative Belief Change. 48-59 - Chuchang Liu, Maris A. Ozols:
Trust in Secure Communication Systems - The Concept, Representations, and Reasoning Techniques. 60-70 - Jane Brennan, Eric Martin:
Foundations for a Formalism of Nearness. 71-82
Deduction
- Seungyeob Choi, Manfred Kerber:
Semantic Selection for Resolution in Clause Graphs. 83-94 - Jeremy E. Dawson, Rajeev Goré:
Machine-Checking the Timed Interval Calculus. 95-106 - Wolfgang Mayer, Markus Stumptner:
Modeling Programs with Unstructured Control Flow for Debugging. 107-118
Learning Theory I
- Lara Kornienko, David L. Dowe, David W. Albrecht:
Message Length Formulation of Support Vector Machines for Binary Classification - A Preliminary Scheme. 119-130 - Peter J. Tan, David L. Dowe:
MML Inference of Decision Graphs with Multi-way Joins. 131-142 - Yudi Agusta, David L. Dowe:
MML Clustering of Continuous-Valued Data Using Gaussian and t Distributions. 143-154 - Sang-Woon Kim, B. John Oommen:
Optimizing Kernel-Based Nonlinear Subspace Methods Using Prototype Reduction Schemes. 155-166
Agents
- Wayne Wobcke:
Intention and Rationality for PRS-Like Agents. 167-178 - Hee Suk Seo, Tae Ho Cho:
Modeling and Simulation for Detecting a Distributed Denial of Service Attack. 179-190 - John K. Debenham:
Knowledge-Driven Processes Can Be Managed. 191-202 - Juei-Nan Chen, Yueh-Min Huang, William C. Chu:
Adaptive Multi-agent Decision Making Using Analytical Hierarchy Process. 203-212
Intelligent Systems
- Rob Sherwood, Steve A. Chien, Rebecca Castaño, Gregg R. Rabideau:
Autonomous Planning and Scheduling on the TechSat 21 Mission. 213-224 - Mark Ashmore, Nick Barnes:
Omni-drive Robot Motion on Curved Paths: The Fastest Path between Two Points Is Not a Straight-Line. 225-236 - Raj P. Gopalan, Grant Lee:
Indexing of Image Databases Using Untrained 4D Holographic Memory Model. 237-248 - Zaiping Chen, Qiang Gao, Chao Dong, Hongjin Liu, Peng Zhang, Zhenlin Xu:
The Flux-Oriented Control of an Induction Machine Utilizing an Online Controller Parameter Adaptation Scheme. 249-258
Bayesian Reasoning and Classification
- Mike Dowman:
Modelling the Acquisition of Colour Words. 259-271 - Lucas R. Hope, Kevin B. Korb:
Bayesian Information Reward. 272-283 - Kyung-Yong Jung, Jung-Hyun Lee:
Prediction of User Preference in Recommendation System Using Associative User Clustering and Bayesian Estimated Value. 284-296 - Sarah George, Ingrid Zukerman:
Argument Interpretation Using Minimum Message Length. 297-308
Evolutionary Algorithms
- Thomas Loveard, Victor Ciesielski:
Genetic Programming for Classification: An Analysis of Convergence Behaviour. 309-320 - Piet van Remortel, Tom Lenaerts, Bernard Manderick:
Lineage and Induction in the Development of Evolved Genotypes for Non-uniform 2D CAs. 321-332 - David Cornforth:
Evolution in the Orange Box - A New Approach to the Sphere-Packing Problem in CMAC-Based Neural Networks. 333-343 - Andrew P. Kosoresow, Matthew P. Johnson:
Finding Worst-Case Instances of, and Lower Bounds for, Online Algorithms Using Genetic Algorithms. 344-355
Neural Networks I
- Shuxiang Xu, Ming Zhang:
An Adaptive Activation Function for Higher Order Neural Networks. 356-362 - Jian Sun, Ruimin Shen, Fan Yang:
An Adaptive Learning Algorithm Aimed at Improving RBF Network Generalization Ability. 363-373 - Zaiping Chen, Jun Li, Youjun Yue, Qiang Gao, Hui Zhao, Zhenlin Xu:
A Neural Network Online Training Algorithm Based on Compound Gradient Vector. 374-384 - Cheol-Ki Kim, Eui-Young Cha:
Applications of Wavelet Transform and Artificial Neural Networks to Pattern Recognition for Environmental Monitoring. 385-394
Reinforcement Learning
- Junbin Gao, Steve R. Gunn, Jaz S. Kandola:
Adapting Kernels by Variational Approach in SVM. 395-406 - Katja Verbeeck, Ann Nowé, Tom Lenaerts, Johan Parent:
Learning to Reach the Pareto Optimal Nash Equilibrium as a Team. 407-418 - Weidong Zhou, Richard J. Coggins:
Computational Models of the Amygdala and the Orbitofrontal Cortex: A Hierarchical Reinforcement Learning System for Robotic Control. 419-430
Constraints and Scheduling
- Petra Hofstedt:
A General Approach for Building Constraint Languages. 431-442 - Aditya Ghose, Peter Harvey:
Metric SCSPs: Partial Constraint Satisfaction via Semiring CSPs Augmented with Metrics. 443-454 - Peter Wilke, Matthias Gröbner, Norbert Oster:
A Hybrid Genetic Algorithm for School Timetabling. 455-464 - Wensheng Yao, Baiyan Li, Jinyuan You:
Genetic Scheduling on Minimal Processing Elements in the Grid. 465-476
Neural Net Applications I
- Dianhui Wang, Nung Kion Lee, Tharam S. Dillon, Nicholas J. Hoogenraad:
Protein Sequences Classification Using Modular RBF Neural Networks. 477-486 - Jie Sun, Geok Soon Hong, Mustafizur Rahman, Yoke San Wong:
Feature Extraction and Selection in Tool Condition Monitoring System. 487-497 - Dimitris A. Karras, Basil G. Mertzios:
A Robust Meaning Extraction Methodology Using Supervised Neural Networks. 498-510 - Yakov Frayman, Bernard F. Rolfe, Geoffrey I. Webb:
Solving Regression Problems Using Competitive Ensemble Models. 511-522
Learning Theory II
- Satoshi Matsumoto, Takayoshi Shoudai, Tetsuhiro Miyahara, Tomoyuki Uchida:
Learning of Finite Unions of Tree Patterns with Internal Structured Variables from Queries. 523-534 - Raj P. Gopalan, Yudho Giri Sucahyo:
TreeITL-Mine: Mining Frequent Itemsets Using Pattern Growth, Tid Intersection, and Prefix Tree. 535-546 - Dongmo Zhang, Norman Y. Foo:
Convergency of Learning Process. 547-556 - Michael Bain:
Structured Features from Concept Lattices for Unsupervised Learning and Classification. 557-568
Satisfiability Reasoning
- John Thornton, Wayne J. Pullan, Justin Terry:
Towards Fewer Parameters for SAT Clause Weighting Algorithms. 569-578 - Olena Kravchuk, Wayne J. Pullan, John Thornton, Abdul Sattar:
An Investigation of Variable Relationships in 3-SAT Problems. 579-590 - Andrew Slater:
Modelling More Realistic SAT Problems. 591-602 - John Thornton, Stuart Bain, Abdul Sattar, Duc Nghia Pham:
A Two Level Local Search for MAX-SAT Problems with Hard and Soft Constraints. 603-614
Neural Net Applications II
- Dimitris A. Karras, Vasilios Zorkadis:
Strong Pseudorandom Bit Sequence Generators Using Neural Network Techniques and Their Evaluation for Secure Communications. 615-626 - Mohammad Shakeel Laghari:
Surface Feature Recognition of Wear Debris. 627-637 - Dimitris A. Karras, Basil G. Mertzios:
Improved Defect Detection Using Novel Wavelet Feature Extraction Involving Principal Component Analysis and Neural Network Techniques. 638-647
Machine Learning Applications
- Masafumi Matsuhara, Kenji Araki, Koji Tochinai:
Effectiveness for Machine Translation Method Using Inductive Learning on Number Representation. 648-659 - Graham J. Williams, Rohan A. Baxter, Chris Kelman, Chris P. Rainsford, Hongxing He, Lifang Gu, Deanne Vickers, Simon Hawkins:
Estimating Episodes of Care Using Linked Medical Claims Data. 660-671
Fuzzy Reasoning
- Cong Tran, Ajith Abraham, Lakhmi C. Jain:
Adaptation of a Mamdani Fuzzy Inference System Using Neuro-Genetic Approach for Tactical Air Combat Decision Support System. 672-680 - Dragos Arotaritei, Mircea Gh. Negoita:
Optimization of Recurrent NN by GA with Variable Length Genotype. 681-692
Neural Networks II and CBR
- Dianhui Wang, Tharam S. Dillon:
Theoretical Foundation for Nonlinear Edge-Preserving Regularized Learning Image Restoration. 693-703 - Peng Han, Ruimin Shen, Fan Yang, Qiang Yang:
The Application of Case Based Reasoning on Q&A System. 704-713
Abstracts of Posters
- Kwok-Wing Chau, Faris Albermani, S. L. Chan:
Development of an Intelligent Tutoring System on Design of Liquid Retaining Structures. 714 - Kwok-Wing Chau, Chuntian Cheng:
Real-Time Prediction of Water Stage with Artificial Neural Network Approach. 715 - Manfred Kerber, Martin Pollet:
On the Design of Mathematical Concepts. 716 - Chuchang Liu, Maris A. Ozols:
Consistency of Trust Theories. 717 - Alan McCabe:
An Artificially Intelligent Sports Tipper. 718 - Marianne Brown:
Selecting Semantics for Use with Semantic Pruning of Linear Deductions. 719 - Kwok-Wing Chau:
Calibration of Flow and Water Quality Modeling Using Genetic Algorithm. 720 - Herbert F. Jelinek, David Cornforth, Patricia Waley, Eduardo Fernández, Wayne Robinson:
A Comparison of Machine Learning Approaches for the Automated Classification of Dementia. 721-722 - Guido Governatori, Vineet Padmanabhan, Abdul Sattar:
A Defeasible Logic of Policy-Based Intention. 723 - Toby J. Richer, Dan Corbett:
A Self-Organizing Territorial Approach to Multi-robot Search and Surveillance. 724 - Khaireel A. Mohamed, Amitava Datta, Ryszard Kozera:
Knowledge-Based Techniques for Constraints Satisfaction in Resource Allocation Problems. 725 - Hidetomo Nabeshima, Koji Iwanuma, Katsumi Inoue:
Effective SAT Planning by Speculative Computation. 726-728
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