PRICAI 2010: Trends in Artificial Intelligence 11th Pacific Rim International Conference on Artificial Intelligence, Daegu, Korea, August 30–September 2, 2010. Proceedings /
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
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Σειρά: | Lecture Notes in Computer Science,
6230 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Keynotes
- Towards Artificial Systems: What Can We Learn from Human Perception?
- Exploiting Macro and Micro Relations toward Web Intelligence
- Speech Recognition for Mobile Devices at Google
- Symmetry within and between Solutions
- Regular Papers
- Belief Change in OCF-Based Networks in Presence of Sequences of Observations and Interventions: Application to Alert Correlation
- A Context-Sensitive Manifold Ranking Approach to Query-Focused Multi-document Summarization
- A Novel Approach to Compute Similarities and Its Application to Item Recommendation
- Multiobjective Optimization Approach for Named Entity Recognition
- Local Search for Stable Marriage Problems with Ties and Incomplete Lists
- Layered Hypernetwork Models for Cross-Modal Associative Text and Image Keyword Generation in Multimodal Information Retrieval
- Visual Query Expansion via Incremental Hypernetwork Models of Image and Text
- Sampling Bias in Estimation of Distribution Algorithms for Genetic Programming Using Prototype Trees
- Identification of Non-referential Zero Pronouns for Korean-English Machine Translation
- Identifying Idiomatic Expressions Using Phrase Alignments in Bilingual Parallel Corpus
- Generating an Efficient Sensor Network Program by Partial Deduction
- Conditional Localization and Mapping Using Stereo Camera
- A Unified Approach for Extracting Multiple News Attributes from News Pages
- A Method for Mobile User Profile and Reasoning
- Evaluating Importance of Websites on News Topics
- A Statistical Interestingness Measures for XML Based Association Rules
- Toward Improving Re-coloring Based Clustering with Graph b-Coloring
- Semi-supervised Constrained Clustering: An Expert-Guided Data Analysis Methodology
- Partial Weighted MaxSAT for Optimal Planning
- Efficient Estimation of Cumulative Influence for Multiple Activation Information Diffusion Model with Continuous Time Delay
- Two Natural Heuristics for 3D Packing with Practical Loading Constraints
- Geometric Median-Shift 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.