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AI 2008: advances in artificial intelligence : 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand, December 1 - 5, 2008 ; proceedings

Author: Wayne Wobcke; Mengjie Zhang; AI
Publisher: Berlin [u.a.] Springer 2008
Series: Lecture notes in computer science; Lecture notes in artificial intelligence
Edition/Format:   Computer file : Conference publication : EnglishView all editions and formats
Summary:

The papers are organized in topical sections on knowledge representation, constraints, planning, grammar and language processing, statistical learning, machine learning, data mining, knowledge  Read more...

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Genre/Form: Kongress
Online-Ressource
Additional Physical Format: Druckausg.
Material Type: Conference publication, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Wayne Wobcke; Mengjie Zhang; AI
ISBN: 3540893776 9783540893776 9783540893783 3540893784
OCLC Number: 845472231
Notes: Literaturangaben
Description: Online-Ressource (XVI, 616 S.)
Contents: 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 Variance Decomposition.- 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.
Series Title: Lecture notes in computer science; Lecture notes in artificial intelligence
Responsibility: Wayne Wobcke, Mengjie Zhang (eds.)
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