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E-raamat: AI 2008: Advances in Artificial Intelligence: 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand, December 3-5, 2008, Proceedings

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  • Formaat: PDF+DRM
  • Sari: Lecture Notes in Computer Science 5360
  • Ilmumisaeg: 27-Nov-2008
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Keel: eng
  • ISBN-13: 9783540893783
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  • Formaat: PDF+DRM
  • Sari: Lecture Notes in Computer Science 5360
  • Ilmumisaeg: 27-Nov-2008
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Keel: eng
  • ISBN-13: 9783540893783

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AI 2008, the 21st Australasian Joint Conference on Arti cial Intelligence, was, for the ?rst time, held in New Zealand,in Auckland during December 1–5,2008. The conference was hosted by Auckland University of Technology. AI 2008attracted 143 submissions from 22 countries,of which 42 (29%) were accepted as full papers and 21 (15%) as short papers. Submissions were subject to a rigorous review process. Each paper was reviewed by at least three (often four,andinonecase,six)membersoftheProgrammeCommittee.Authorscould then provide a “rebuttal” to these reviews. The Senior Programme Committee members coordinated discussion on the papers to provide a recommendation of acceptance or rejection to the Programme Committee Co-chairs. Both full papers and short papers were presented at the conference. We would ?rst like to thank all those who submitted papers to AI 2008. Specialthanks to the ProgrammeCommittee members for their detailed reviews completedinatimelymanner,andtotheSeniorProgrammeCommitteefortheir consideredjudgements andrecommendationsonthepapers.We aresureauthors would like to know that the rebuttal and subsequent discussion phases made a di erence to the outcome in numerous cases. We are con dent that this process has improved the decision making for ?nal paper selection, and that the overall quality and reputation of the conference is enhanced as a result. Thanks also to EasyChair for the use of their conference management system to facilitate this complex process and the preparation of these proceedings.
Invited Paper.- Stereo-Vision-Support for Intelligent Vehicles - The
Need for Quantified Evidence.- Knowledge Representation.- Introspective
Forgetting.- A Fixed-Point Property of Logic-Based Bargaining Solution.-
Re-representation in a Logic-Based Model for Analogy Making.- Knowledge
Generation for Improving Simulations in UCT for General Game Playing.-
Propositional Automata and Cell Automata: Representational Frameworks for
Discrete Dynamic Systems.- Constructing Web Corpora through Topical Web
Partitioning for Term Recognition.- An Ontology Formalization of Relation
Type Hierarchy in Conceptual Structure Theory.- Exploiting Ontological
Structure for Complex Preference Assembly.- Constraints.- A Refutation
Approach to Neighborhood Interchangeability in CSPs.- Infeasibility Driven
Evolutionary Algorithm (IDEA) for Engineering Design Optimization.-
Constraint-Based Multi-agent Path Planning.- Planning.- An Optimality
Principle for Concurrent Systems.- Partial Order Hierarchical Reinforcement
Learning.- Optimal Global Path Planning in Time Varying Environments Based on
a Cost Evaluation Function.- Grammar and Language Processing.- Using
Probabilistic Feature Matching to Understand Spoken Descriptions.- Working
for Two: A Bidirectional Grammar for a Controlled Natural Language.-
Improving Metrical Grammar with Grammar Expansion.- FrameNet-Based
Fact-Seeking Answer Processing: A Study of Semantic Alignment Techniques and
Lexical Coverage.- Learning to Find Relevant Biological Articles without
Negative Training Examples.- Humor Prevails! - Implementing a Joke Generator
into a Conversational System.- Statistical Learning.- Improving Transductive
Support Vector Machine by Ensembling.- Kernels Based on Distributions of
Agreement Subtrees.- Practical Bias VarianceDecomposition.- Using Gaussian
Processes to Optimize Expensive Functions.- Discriminant Analysis Methods for
Microarray Data Classification.- Propositionalisation of Profile Hidden
Markov Models for Biological Sequence Analysis.- Machine Learning.- Improving
Promoter Prediction Using Multiple Instance Learning.- Revisiting
Multiple-Instance Learning Via Embedded Instance Selection.- Decision Tree
Induction from Numeric Data Stream.- L1 LASSO Modeling and Its Bayesian
Inference.- Discriminating Against New Classes: One-class versus Multi-class
Classification.- Building a Decision Cluster Classification Model for High
Dimensional Data by a Variable Weighting k-Means Method.- Locality Spectral
Clustering.- Mining Arbitrarily Large Datasets Using Heuristic k-Nearest
Neighbour Search.- Cross-Domain Knowledge Transfer Using Semi-supervised
Classification.- On the Limitations of Scalarisation for Multi-objective
Reinforcement Learning of Pareto Fronts.- An Approach for Generalising
Symbolic Knowledge.- Single-Cycle Image Recognition Using an Adaptive
Granularity Associative Memory Network.- Data Mining.- Combined Pattern
Mining: From Learned Rules to Actionable Knowledge.- Efficient Single-Pass
Mining of Weighted Interesting Patterns.- Pattern Taxonomy Mining for
Information Filtering.- An AI-Based Causal Strategy for Securing Statistical
Databases Using Micro-aggregation.- Additive Regression Applied to a
Large-Scale Collaborative Filtering Problem.- A Novel Recommending Algorithm
Based on Topical PageRank.- DynamicWEB: Adapting to Concept Drift and Object
Drift in COBWEB.- Knowledge Discovery.- L-Diversity Based Dynamic Update for
Large Time-Evolving Microdata.- Knowledge Discovery from Honeypot Data for
Monitoring Malicious Attacks.- Detecting the Knowledge Boundary with Prudence
Analysis.- Soft Computing.- Clustering with XCS on Complex Structure
Dataset.- Evolution of Multiple Tree Structured Patterns from Tree-Structured
Data Using Clustering.- Application of a Memetic Algorithm to the Portfolio
Optimization Problem.- Predicting Trading Signals of Stock Market Indices
Using Neural Networks.- A Fuzzy Decision Support System for Garment New
Product Development.- A Hybrid Nonlinear-Discriminant Analysis Feature
Projection Technique.- Vision and Image Processing.- Learning Object
Representations Using Sequential Patterns.- Character Recognition Using
Hierarchical Vector Quantization and Temporal Pooling.- Learning a Generative
Model for Structural Representations.- AI Applications.- Using Stereotypes to
Improve Early-Match Poker Play.- CASPER: A Case-Based Poker-Bot.- A
Generalized Joint Inference Approach for Citation Matching.- Agent-Based
Collaborative System and Case-Based Conflict Resolution Process in
Preliminary Ship Design.