AI 2012: Advances in Artificial Intelligence 25th Australasian Joint Conference, Sydney, Australia, December 4-7, 2012. Proceedings / [electronic resource] : edited by Michael Thielscher, Dongmo Zhang. - Berlin, Heidelberg : Springer Berlin Heidelberg, 2012. - 1 online resource (XX, 917 p. 244 ill.) - Lecture Notes in Computer Science, 7691 0302-9743 ; .

Agents -- Measuring the Performance of Online Opponent Models in Automated Bilateral Negotiation -- Optimistic Agents Are Asymptotically Optimal -- An Enhanced Multi-Agent System with Evolution Mechanism to Approximate Physarum Transport Networks -- Applications Predicting Shellfish Farm Closures with Class Balancing Methods -- Automatic Han Chinese Folk Song Classification Using Extreme Learning Machines -- People-to-People Recommendation Using Multiple Compatible Subgroups -- Automatic Scoring of Erythema and Scaling Severity in Psoriasis Diagnosis -- A Multilayered Ensemble Architecture for the Classification of Masses in Digital Mammograms -- Refined Distractor Generation with LSA and Stylometry for Automated Multiple Choice Question Generation -- A New Genetic Algorithm for Simplified Protein Structure Prediction -- Generating Realistic Online Auction Data -- Computer Vision A Robust Global Motion Estimation for Digital Video Stabilization -- Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection -- An Abstract Deep Network for Image Classification -- A Dynamic Approach for Detecting Naturalistic Affective States from Facial Videos during HCI -- Constraints and Search -- A Self-adaptive Differential Evolution Algorithm with Constraint Sequencing -- On the Violation of Circuits in Decomposable Negation Normal Form -- The RegularGcc Matrix Constraint -- A Method to Avoid Duplicative Flipping in Local Search for SAT -- Anytime Algorithms for Biobjective Heuristic Search -- ICHEA for Discrete Constraint Satisfaction Problems -- Anytime Column Search -- Evolutionary Computation Genetic Programming for Biomarker Detection in Mass Spectrometry Data -- An Evolutionary Approach for the Design of Autonomous Underwater Vehicles -- Unsupervised Learning of Mutagenesis Molecules Structure Based on an Evolutionary-Based Features Selection in DARA -- Inference of a Phylogenetic Tree: Hierarchical Clustering versus Genetic Algorithm -- A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory -- Evolving Plastic Neural Networks for Online Learning: Review and Future Directions -- A Multimodal Problem for Competitive Coevolution -- XCSR with Computed Continuous Action -- A Memetic Algorithm for Efficient Solution of 2D and 3D Shape Matching Problems -- Local Search in Parallel Linear Genetic Programming for Multiclass Classification -- Game Playing -- Opponent's Style Modeling Based on Situations for Bayesian Poker -- Game Designers Training First Person Shooter Bots -- Games with Ambiguous Payoffs and Played by Ambiguity and Regret Minimising Players -- Information Retrieval Query Expansion Powered by Wikipedia Hyperlinks -- Constrained Grouped Sparsity -- Reverse Active Learning for Optimising Information Extraction Training Production -- Adopting Relevance Feature to Learn Personalized Ontologies -- Towards Domain Independent Why Text Segment Classification Based on Bag of Function Words -- Knowledge Representation A Delayed Splitting Bottom-Up Procedure for Model Generation -- A Goal-Oriented Algorithm for Unification in ELHR+ w.r.t. Cycle-Restricted Ontologies -- Normal Modal Preferential Consequence -- Trust in Context -- Complex Analogies: Remarks on the Complexity of HDTP -- A General Representation and Approximate Inference Algorithm for Sensing Actions -- Systematicity, Accessibility, and Universal Properties -- RDL: Enhancing Description Logic with Rules -- Machine Learning Approximate Document Outlier Detection Using Random Spectral Projection -- Exploration / Exploitation Trade-Off in Mobile Context-Aware Recommender Systems -- Simultaneous Interval Regression for K-Nearest Neighbor -- Kernel-Tree: Mining Frequent Patterns in a Data Stream Based on Forecast Support -- An Empirical Comparison of Two Common Multiobjective Reinforcement Learning Algorithms -- A Comparative Study of Sampling Methods and Algorithms for Imbalanced Time Series Classification -- An Efficient Adversarial Learning Strategy for Constructing Robust Classification Boundaries -- Signal Selection for Sleep Apnea Classification -- Minimum Message Length Inference and Mixture Modelling of Inverse Gaussian Distributions -- A Probabilistic Least Squares Approach to Ordinal Regression -- Bagging Ensemble Selection for Regression -- Fixed Frame Temporal Pooling -- DIKEA: Domain-Independent Keyphrase Extraction Algorithm -- Evolving Event Detectors in Multi-channel Sensor Data -- Improving Classification Accuracy on Uncertain Data by Considering Multiple Subclasses -- Planning and Scheduling -- Hierarchical Multi-agent Distribution Planning -- Generating Project Plans for Data Center Transformations -- Planning with Action Prioritization and New Benchmarks for Classical Planning -- Efficient Solution of Capacitated Arc Routing Problems with a Limited Computational Budget -- Block-Structured Plan Deordering -- Ride-Sharing: A Multi Source-Destination Path Planning Approach -- Robotics -- A Novel Approach to Ball Detection for Humanoid Robot Soccer -- Analysis of Cluster Formation Techniques for Multi-robot Task Allocation Using Sequential Single-Cluster Auctions -- On-Line Model-Based Continuous State Reinforcement Learning Using Background Knowledge -- Uncertainty in AI -- A Novel D-S Theory Based AHP Decision Apparatus under Subjective Factor Disturbances -- MML Logistic Regression with Translation and Rotation Invariant Priors -- Probabilistic Model-Based Assessment of Information Quality in Uncertain Domains -- Causal Discovery of Dynamic Bayesian Networks.

9783642351013


Computer science.
Computers.
Algorithms.
Information Storage and Retrieval.
Artificial intelligence.
Image processing.