Advanced Topics in Artificial Intelligence 12th Australian Joint Conference on Artificial Intelligence, AI'99, Sydney, Australia, December 6-10, 1999, Proceedings /
The 12th Australian Joint Conference on Artificial Intelligence (AI'QQ) held in Sydney, Australia, 6-10 December 1999, is the latest in a series of annual re gional meetings at which advances in artificial intelligence are reported. This series now attracts many international papers, and indee...
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| Other Authors: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
1999.
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| Edition: | 1st ed. 1999. |
| Series: | Lecture Notes in Artificial Intelligence ;
1747 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Machine Learning I
- Generating Rule Sets from Model Trees
- Classifying and Learning Cricket Shots Using Camera Motion
- Unsupervised Learning in Metagame
- Neural Nets
- A Neural Networks Based Approach for Fast Mining Characteristic Rules
- FANRE: A Fast Adaptive Neural Regression Estimator
- Neural Networks for Defuzification of Fuzzy Rules: An Application in Macroeconomic Forecasting
- Knowledge Representation I
- Semantic Integration of Databases Using Linguistic Knowledge
- Representing 'Just Invalid' Knowledge
- Maximising Expected Utility for Behaviour Arbitration
- Natural Language
- Generating Natural Language Descriptions of Project Plans
- Categorizing Unknown Words: A Decision Tree-Based Misspelling Identifier
- Sync/Trans: Simultaneous Machine Interpretation between English and Japanese
- Belief Revision
- Minimal Belief Change and Pareto-Optimality
- Basic Infobase Change
- A Framework for Multi-Agent Belief Revision Part I: The Role of Ontology
- Adaptive Algorithms
- Genetic Programming for Multiple Class Object Detection
- A Simulated Annealing-Based Learning Algorithm for Boolean DNF
- Mutant: A Genetic Learning System
- Automated Reasoning
- Computing Least Common Subsumers in Expressive Description Logics
- E-SETHEO: Design, Configuration and Use of a Parallel Automated Theorem Prover
- PTTP+GLiDeS: Guiding Linear Deductions with Semantics
- Neural Learning
- Neural Network Learning Using Low-Discrepancy Sequence
- An Investigation into the Effect of Ensemble Size and Voting Threshold on the Accuracy of Neural Network Ensembles
- Neurofuzzy Learning of Mobile Robot Behaviours
- Knowledge Representation II
- INDu: An Interval & Duration Network
- A Logical Framework for Inductive Inference and Its Rationality
- Semantics for Pollock's Defeasible Reasoning
- Heuristics
- Feasibility of Optimised Disjunctive Reasoning for Approximate Matching
- An Examination of Probabilistic Value-Ordering Heuristics
- Heuristics and Experiments on BDD Representation of Boolean Functions for Expert Systems in Software Verification Domains
- Knowledge Representation III
- Abduction without Minimality
- Causal Propagation Semantics - A Study
- Arc Weights for Approximate Evaluation of Dynamic Belief Networks
- Machine Learning II
- Finding Outpoints in Noisy Binary Sequences - A Revised Empirical Evaluation
- Q-Learning in Continuous State and Action Spaces
- Applications
- On Understanding Global Behavior of Teams in Robot Soccer Simulators
- Visual Human-Machine Interaction
- Applying Ant Algorithms and the No Fit Polygon to the Nesting Problem
- Poster Papers (Extended Summary)
- Fisheye Matching: Viewpoint-Sensitive Feature Generation Based on Concept Structure
- A Procedural Approach for Rule Based Update
- Learning Logic Programs with Local Variables from Positive Examples
- Estimating Problem Value in an Intelligent Tutoring System Using Bayesian Networks
- Evaluation of Number-Kanji Translation Method of Non-Segmented Japanese Sentences Using Inductive Learning with Degenerated Input
- A Serving Agent for Integrating Soft Computing and Software Agents
- A Visual Geographic Knowledge Classification and Its Relationship to the KADS Model
- A Constraint Optimization Framework for MultiAgent Anytime Scheduling
- Evolving Modular Neural Networks Using Rule-Based Genetic Programming
- A Trajectory Approach to Causality
- Bayesian Reasoning for Diagnosing Student Misconceptions about Decimals
- Reconsidering Fitness and Convergence in Co-evolutionary Design
- A Proposal of Generating Artistic Japanese Calligraphic Fonts
- Using Competitive Learning in Neural Networks for Cluster-Detection-and-Labeling
- Knowledge-Based Communication Processes in Building Design
- Information-Based Cooperation in Multiple Agent Systems.
