PRICAI 2010: Trends in Artificial Intelligence

over Riemannian Manifolds.- Multi-manifold Clustering.- Exploiting Word Cluster Information for Unsupervised Feature Selection.- Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification.- Time-Sensitive Feature Mining for Temporal Sequence Classification.- Learning Automaton Based On-Line Discovery and Tracking of Spatio-temporal Event Patterns.- A Graph Model for Clustering Based on Mutual Information.- Shill Bidder Detection for Online Auctions.- Mining Hot Clusters of Similar Anomalies for System Management.- A Stratified Model for Short-Term Prediction of Time Series.- Using ASP to Improve the Information Reuse in Mechanical Assembly Sequence Planning.- Special Session Papers.- Manifold Alpha-Integration.- Ranking Entities Similar to an Entity for a Given Relationship.- Anomaly Detection over Spatiotemporal Object Using Adaptive Piecewise Model.- Experimental Analysis of the Effect of Dimensionality Reduction on Instance-Based Policy Optimization.- A Real-Time Personal Authentication System with Selective Attention and Incremental Learning Mechanism in Feature Extraction and Classifier.- An Efficient Face Recognition through Combining Local Features and Statistical Feature Extraction.- Parameter Learning in Bayesian Network Using Semantic Constraints of Conversational Feedback.- Keystroke Dynamics Extraction by Independent Component Analysis and Bio-matrix for User Authentication.- A Fast Incremental Kernel Principal Component Analysis for Online Feature Extraction.- Colour Object Classification Using the Fusion of Visible and Near-Infrared Spectra.- An Adaptive Bidding Strategy for Combinatorial Auction-Based Resource Allocation in Dynamic Markets.- Online Self-reorganizing Neuro-fuzzy Reasoning in Interval-Forecasting for Financial Time-Series.- An Evolving Type-2 Neural Fuzzy Inference System.- Human Augmented Cognition Based on Integration of Visual and Auditory Information.- Steady-State Genetic Algorithms for Growing Topological Mapping and Localization.- Incremental Model Selection and Ensemble Prediction under Virtual Concept Drifting Environments.- Short Papers.- Multi-dimensional Data Inspection for Supervised Classification with Eigen Transformation Classification Trees.- An Optimised Algorithm to Tackle the Model Explosion Problem in CTL Model Update.- Exploiting Symmetry in Relational Similarity for Ranking Relational Search Results.- Brain-Inspired Evolving Neuro-Fuzzy System for Financial Forecasting and Trading of the S&P500 Index.- Bargain over Joint Plans.- Point-Based Bounded Policy Iteration for Decentralized POMDPs.- Chinese Named Entity Recognition Based on Hierarchical Hybrid Model.- Text Disambiguation Using Support Vector Machine: An Initial Study.- Diacritics Restoration in Vietnamese: Letter Based vs. Syllable Based Model.- Tag Quality Feedback: A Framework for Quantitative and Qualitative Feedback on Tags of Social Web.- Semantic Networks of Mobile Life-Log for Associative Search Based on Activity Theory.- Three-Subagent Adapting Architecture for Fighting Videogames.- Incremental Learning via Exceptions for Agents and Humans: Evaluating KR Comprehensibility and Usability.- Exploiting Comparable Corpora for Cross-Language Information Retrieval.- Local PCA Regression for Missing Data Estimation in Telecommunication Dataset.- An Influence Diagram Approach for Multiagent Time-Critical Dynamic Decision Modeling.- Active Learning for Sequence Labelling with Probability Re-estimation.- Locally Centralizing Samples for Nearest Neighbors.- Gait Planning Research for Biped Robot with Heterogeneous Legs.- Computer-Aided Diagnosis of Alzheimer's Disease Using Multiple Features with Artificial Neural Network.- A Hierarchical Multiple Recognizer for Robust Speech Understanding.