AI 2009: Advances in Artificial Intelligence

22nd Australasian Joint Conference, Melbourne, Australia, December 1-4, 2009, Proceedings

Häftad, Engelska, 2009

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This book constitutes the refereed proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence, AI 2009, held in Melbourne, Australia, in December 2009. The 68 revised full papers presented were carefully reviewed and selected from 174 submissions. The papers are organized in topical sections on agents; AI applications; computer vision and image processing; data mining and statistical learning; evolutionary computing; game playing; knowledge representation and reasoning; natural language and speech processing; soft computing; and user modelling.

Produktinformation

Utgivningsdatum2009-11-09
Mått155 x 235 x 38 mm
Vikt1 054 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Artificial Intelligence
Antal sidor688
Upplaga2009
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783642104381

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Artificiell intelligens inom Data och it
Databaser inom Data och it
Människa – datorinteraktion inom Data och it

Agents.- Experimental Market Mechanism Design for Double Auction.- Model Checking Games for a Fair Branching-Time Temporal Epistemic Logic.- Multistage Fuzzy Decision Making in Bilateral Negotiation with Finite Termination Times.- Simple Default Reasoning in Theories of Action.- From My Agent to Our Agent: Exploring Collective Adaptive Agent via Barnga.- AI Applications.- Classification of EEG for Affect Recognition: An Adaptive Approach.- Effect of Experimental Factors on the Recognition of Affective Mental States through Physiological Measures.- A Distance Measure for Genome Phylogenetic Analysis.- Pattern Prediction in Stock Market.- Balancing Workload in Project Assignment.- Topical Analysis for Identification of Web Communities.- Collaborative-Comparison Learning for Complex Event Detection Using Distributed Hierarchical Graph Neuron (DHGN) Approach in Wireless Sensor Network.- Square Root Unscented Particle Filtering for Grid Mapping.- Computer Vision and Image Processing.- Towards Automatic Image Segmentation Using Optimised Region Growing Technique.- Texture Detection Using Neural Networks Trained on Examples of One Class.- Learning and Recognition of 3D Visual Objects in Real-Time.- Learning Motion Detectors by Genetic Programming.- Information-Theoretic Image Reconstruction and Segmentation from Noisy Projections.- Belief Propagation Implementation Using CUDA on an NVIDIA GTX 280.- Face Image Enhancement via Principal Component Analysis.- Data Mining and Statistical Learning.- On Using Adaptive Binary Search Trees to Enhance Self Organizing Maps.- Topic-Based Computing Model for Web Page Popularity and Website Influence.- Classifying Multiple Imbalanced Attributes in Relational Data.- Algorithms for the Computation of Reduced Convex Hulls.- Regularized KernelLocal Linear Embedding on Dimensionality Reduction for Non-vectorial Data.- Incremental E-Mail Classification and Rule Suggestion Using Simple Term Statistics.- The Positive Effects of Negative Information: Extending One-Class Classification Models in Binary Proteomic Sequence Classification.- Using Topic Models to Interpret MEDLINE’s Medical Subject Headings.- A Novel Path-Based Clustering Algorithm Using Multi-dimensional Scaling.- Ensemble Approach for the Classification of Imbalanced Data.- Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis.- MML Invariant Linear Regression.- DMCS: Dual-Model Classification System and Its Application in Medicine.- A Graph Distance Based Structural Clustering Approach for Networks.- Constructing Stochastic Mixture Policies for Episodic Multiobjective Reinforcement Learning Tasks.- Enhancing MML Clustering Using Context Data with Climate Applications.- Evolutionary Computing.- CoXCS: A Coevolutionary Learning Classifier Based on Feature Space Partitioning.- Multi-Objective Genetic Programming for Classification with Unbalanced Data.- Scheduling for the National Hockey League Using a Multi-objective Evolutionary Algorithm.- Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems.- Unsupervised Text Normalization Approach for Morphological Analysis of Blog Documents.- Novel Memetic Algorithm for Protein Structure Prediction.- Interestingness of Association Rules Using Symmetrical Tau and Logistic Regression.- Unsupervised Elimination of Redundant Features Using Genetic Programming.- A Distance Metric for Evolutionary Many-Objective Optimization Algorithms Using User-Preferences.- Balancing Parent and Offspring Selection in Genetic Programming.- Game Playing.- AMemory-Based Approach to Two-Player Texas Hold’em.- Decomposition of Multi-player Games.- Knowledge Representation and Reasoning.- Extended Full Computation-Tree Logic with Sequence Modal Operator: Representing Hierarchical Tree Structures.- A Data Model for Fuzzy Linguistic Databases with Flexible Querying.- Modelling Object Typicality in Description Logics.- Efficient SAT Techniques for Relative Encoding of Permutations with Constraints.- Uniform Interpolation for Revisited.- Modeling Abstract Behavior: A Dynamic Logic Approach.- Natural Language and Speech Processing.- Restoring Punctuation and Casing in English Text.- A Novel Connectionist Network for Solving Long Time-Lag Prediction Tasks.- An Abstraction-Based Data Model for Information Retrieval.- Vietnamese Document Representation and Classification.- Can Shallow Semantic Class Information Help Answer Passage Retrieval?.- English Article Correction System Using Semantic Category Based Inductive Learning Rules.- Towards Interpreting Task-Oriented Utterance Sequences.- Soft Computing.- Fuzzy Rank Linear Regression Model.- Numerical versus Analytic Synchronization in Small-World Networks of Hindmarsh-Rose Neurons.- Outline Capture of Images by Multilevel Coordinate Search on Cubic Splines.- User Modelling.- Aggregation Trade Offs in Family Based Recommendations.- Using Keyword-Based Approaches to Adaptively Predict Interest in Museum Exhibits.- Behaviour Recognition from Sensory Streams in Smart Environments.- Probabilistic Seeking Prediction in P2P VoD Systems.