
AI 2011: Advances in Artificial Intelligence
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Content
- Intro
- Title page
- Preface
- Organization
- Table of Contents
- Session 1: Data Mining and Knowledge Discovery
- Guided Rule Discovery in XCS for High-Dimensional Classification Problems
- Introduction
- Background
- XCS Overview
- Related Work
- Model
- Experiments
- Data Sets
- Parameters
- Results
- Conclusions
- References
- Motif-Based Method for Initialization the K-Means Clustering for Time Series Data
- Introduction
- Background
- Dimensionality Reduction
- Clustering for Time Series Data
- locations are often termed the seeds for the k-Means algorithm.2.3 Time Series Motifs and the Brute-Force Algorithm for Finding Motifs
- The Proposed Clustering Method for Time Series Data
- How to Speed Up the Brute-Force Algorithm for Finding 1-Motifs
- How to Derive Initial Centers from Results of K-Means Clustering on 1-Motifs
- Experimental Evaluation
- Conclusions
- References
- Semi-Supervised Classification Using Tree-Based Self-Organizing Maps
- Introduction
- The Tree-Based Topology Oriented SOM
- The TTOSOM-Based Classifier
- Experimental Setup
- Results
- Conclusions
- References
- The Discovery and Use of Ordinal Information on Attribute Values in Classifier Learning
- Introduction
- Value of Ordinal Information
- Testing
- Results
- Discovering Orders
- Developing Methods
- Testing Order Discovery
- Random Orders for Ensemble Classifiers
- Conclusions and Further Work
- References
- Beyond Trees: Adopting MITI to Learn Rules and Ensemble Classifiers for Multi-Instance Data
- Introduction
- The MITI Algorithm
- Experimental Results
- MIRI: Using MITI to Learn Rule Sets
- Experimental Results
- Building Ensemble Classifiers
- Experimental Results
- Conclusions
- References
- Automatically Measuring the Quality of User Generated Content in Forums
- Introduction
- Problem Definition
- UGCQ Assessment Model
- Experiment
- Datasets
- Feature Selection
- Performance Evaluation
- Post Quality Classification
- Results
- Friedman Test
- Nemenyi Test
- Discussion
- Related Work
- Conclusion
- References
- Genetically Enhanced Feature Selection of Discriminative Planetary Crater Image Features
- Introduction
- Related Work
- Genetically Enhanced Feature Selection
- Genetic Representation
- Wrapped Classifier Fitness Function
- Random Crossover
- Mutation
- Highest Fitness (Greedy) Selection
- Weighted Random Selection
- Weighted Random Selection with Simulated Annealing
- Complexity
- Experimental Results
- Conclusion
- References
- Penalized Least Squares for Smoothing Financial Time Series
- Introduction
- Current Methods
- Our Proposed Method
- Experiment Description
- Data
- Smoothness (Noise) Function
- Lag Function
- Cross Validation
- Results
- Conclusions
- References
- Logistic Regression with the Nonnegative Garrote
- Introduction
- Nonnegative Garrote
- Simulation
- Simulated Data
- Path Consistency
- Initial Estimates for the NNG
- Real Data
- Discussion and Recommendations
- References
- Identification of Breast Cancer Subtypes Using Multiple Gene Expression Microarray Datasets
- Introduction
- The Consensus Clustering Problem
- Objective Function
- The Genetic Algorithm
- The Breast Cancer Datasets
- Results
- Comparison with Existing Subtypes
- Conclusion
- References
- Combining Instantaneous and Time-Delayed Interactions between Genes - A Two Phase Algorithm Based on Information Theory
- Introduction
- Background
- Bayesian Network (BN)
- Dynamic Bayesian Network (DBN)
- Information Theoretic Quantities
- The Method
- The Framework for Representation
- Finding the Appropriate Search Strategy
- Finding the Intra-slice Arc Directions
- Simulation and Results
- Synthetic Network
- Real-Life Biological Data
- Conclusion
- References
- A Sparse-Grid-Based Out-of-Sample Extension for Dimensionality Reduction and Clustering with Laplacian Eigenmaps
- Introduction
- Laplacian Eigenmaps and Spectral Clustering
- Sparse Grids
- Sparse-Grid-Based Out-of-Sample Extension
- Experiments
- Conclusion
- References
- Distribution Based Data Filtering for Financial Time Series Forecasting
- Introduction
- Related Work
- Distribution Based Samples Removing Algorithm
- Distance Value - Threshold Based Decision
- Distance Value - Percentage Based Decision
- Datasets
- Experiments
- Conclusion
- References
- Sequential Feature Selection for Classification
- Introduction
- Framework
- General Idea
- Sequential Classification
- Action Selection without Replacement
- Solving the POMDP
- Experiments and Discussion
- Handwritten MNIST Digit Classification
- Diabetes Dataset with Naive Bayes Classification
- Discussion
- Conclusion
- References
- Long-Tail Recommendation Based on Reflective Indexing
- Introduction
- Novelty as an Important Value of Long-Tail Recommendations
- Methodological Assumptions
- Contribution of the Paper
- Algebraic Model for PRI
- Modeling User-Item Dependencies as a Probability Space
- Reflective Data Processing
- The PRI Algorithm
- Evaluation
- Data Sets
- Recommendation Quality Evaluation
- Conclusions
- References
- Author Name Disambiguation for Ranking and Clustering PubMed Data Using NetClus
- Introduction
- Related Work
- The Challenges of Author Name Disambiguation on PubMed
- Related Work on Disambiguation of PubMed Authors
- A Multi-evidence Author Disambiguation System
- Disambiguation Using Organisation Names and Addresses
- Disambiguation Using Co-author Network
- Evaluation of the Disambiguation Technique
- Accuracy of the Proposed Disambiguation Technique
- Evaluation of NetClus Results
- Conclusion and Future Work
- References
- Self-Organizing Maps for Translating Health Care Knowledge: A Case Study in Diabetes Management
- Introduction
- Background: Mining Diabetic Patient Data
- Application
- Chronic Disease Management (CDM)
- Chronic Disease Management Network (cdmNet)
- Chronic Disease Management Network - Business Intelligence (cdmNet-BI) Module
- The Self-Organizing Map (SOM)
- The Growing Self-Organizing Map (GSOM)
- Patterns in Diabetes Management
- Analysis of Features Common to Any Individual
- Analysis of Common Features with Diabetes Specific Medical Features
- Patterns Recognised from Diabetes Data: Outcomes
- Conclusions and Future Work
- References
- Distance-Based Feature Selection on Classification of Uncertain Objects
- Introduction
- Related Work
- Problem Definition
- UK-Means
- Supervised UK-Means
- Algorithms
- Averaging Approach
- Distribution-Based Approach
- Experimental Results
- Data Sets
- Performance Evaluation
- Conclusion
- References
- Session 2: Machine Learning
- Closure Spaces of Isotone Galois Connections and Their Morphisms
- Introduction
- Preliminaries: Matrices, Decompositions, Concept Lattices
- Closure Spaces Induced by (^,V)
- Morphisms of c-Closure Spaces
- Isomorphic c-Closure Spaces
- Conclusions
- References
- Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data
- Introduction
- Related Work: Ensemble Learning for Class Imbalance
- Multi-Objective GP (MOGP) for Evolving Ensembles
- GP Framework for Classification
- MOGP Fitness
- MOGP Search
- MOGP Ensemble Performance
- Evolutionary Parameters and Unbalanced Data Sets
- MOGP Ensemble Results
- Ensemble Pruning
- Fitness-Based Pruning
- GP for Evolving Composite Voting Trees
- Performance of Ensembles Using Puning Methods
- Conclusions
- References
- Compiling Bayesian Networks for Parameter Learning Based on Shared BDDs
- Introduction
- Preliminary
- Bayesian Networks
- Parameter Learning Problem for BNs
- Proposed Method
- Encoding and Compiling
- Learning
- Experiments
- Conclusion and Related Work
- References
- An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution
- Introduction
- Designed Framework
- Evaluation Metrics
- Experimental Setting
- Selection of Base Learners
- Data-Sets
- Experimental Results Analysis
- Statistical Test
- Comparison between Bagging and Single Learners
- Comparison between Bagging Predictors
- Conclusion
- References
- A Simple Bayesian Algorithm for Feature Ranking in High Dimensional Regression Problems
- Introduction
- Bayesian Feature Ranking (BFR) Algorithm
- Discussion and Results
- Simulated Data
- Real Data
- Conclusion
- References
- Semi-random Model Tree Ensembles: An Effective and Scalable Regression Method
- Introduction
- Random Model Trees
- Experiments
- Linear Regression
- Gaussian Process Regression
- Additive Groves
- Random Model Trees
- Results
- Relative Mean Absolute Error
- Conclusions
- References
- Supervised Subspace Learning with Multi-class Lagrangian SVM on the Grassmann Manifold
- Introduction
- Proposed Method
- Multi-class Lagrangian SVM
- Learning the Projection
- Experiments
- Conclusion
- References
- Bagging Ensemble Selection
- Introduction
- Bagging Ensemble Selection
- Experimental Results
- Comparison of Bagging Ensemble Selection Algorithms to the Forward Ensemble Selection Algorithms
- Comparison of Bagging Ensemble Selection Algorithms to Other Ensemble Learning Algorithms
- Conclusions
- References
- Augmented Spatial Pooling
- Introduction
- Spatial Pooling
- Modifications
- Experimental Evaluation and Discussion
- Conclusions
- References
- Session 3: Evolutionary Computation and Optimization
- An Analysis of Sub-swarms in Multi-swarm Systems
- Introduction
- Multi-swarm Systems
- Experimental Design
- Effects of Initial Velocities
- Effects of Smaller Constriction Factors
- Effects of Swarm Size
- Recommended Parameters
- Discussion
- Summary
- References
- A Simple Strategy to Maintain Diversity and Reduce Crowding in Particle Swarm Optimization
- Introduction
- Background
- Particle Swarm Optimization
- A New Update Strategy for PSO
- Results on Multi-modal Functions
- Results on Other Functions
- Discussion
- Summary
- References
- Weighted Preferences in Evolutionary Multi-objective Optimization
- Introduction
- Preliminaries
- Algorithms
- Weighted NSGA-II
- Weighted SPEA2
- Experimental Results
- Conclusions
- References
- Genetic Programming for Edge Detection Based on Accuracy of Each Training Image
- Introduction
- Background
- Edge Detection
- Related Work to Genetic Programming for Edge Detection
- The New Approach
- Main Idea
- Sets of Terminals and Primitive Functions
- Fitness Function
- Experimental Design
- Experimental Results and Discussion
- Conclusions
- References
- Improving Robustness of Multiple-Objective Genetic Programming for Object Detection
- Introduction
- Background
- Validation and Sampling Methods
- Experimental Design
- Experimental Results
- Conclusions
- References
- DE/isolated/1: A New Mutation Operator for Multimodal Optimization with Differential Evolution
- Introduction
- Differential Evolution
- Initialization
- Mutation
- Crossover
- Selection
- Proposed Method: DE/isolated/1
- Isolated Vector-Based Mutation
- Immediate Update of the Population
- Escape from Local Optima
- Experiments
- Benchmark Functions
- Performance Measure
- Parameter Setup
- Results
- Conclusion
- References
- The Effects of Diversity Maintenance on Coevolution for an Intransitive Numbers Problem
- Introduction
- Coevolutionary Algorithms
- Hall of Fame
- Diversity
- Quality
- Experiments
- Algorithms Tested
- Results and Analysis
- Conclusion
- References
- Eliminating Useless Object Detectors Evolved in Multiple-Objective Genetic Programming
- Introduction
- Background
- Improvements to the MOGP Approach
- Experimental Design and Results
- Conclusions
- References
- Asymmetric Pareto-adaptive Scheme for Multiobjective Optimization
- Introduction
- apa: Asymmetric Pareto-adaptive
- apa for 2-Dimensional Pareto Front
- Curve Function for Asymmetric Pareto Front
- apa for Decomposition and -Dominance
- apa: apa for Decomposition
- apa-Dominance: apa for -Dominance
- Experimental Results and Discussion
- Benchmark Problems and Experimental Setting
- Discussions on Statistical Results
- Conclusion and Future Research
- References
- Convergence of a Recombination-Based Elitist Evolutionary Algorithm on the Royal Roads Test Function
- Introduction
- Royal Roads Function
- Past Work
- Analyzed Algorithm:(µ + ?)EA1BS
- Model Setup and Assumptions
- Improvement Process
- Population and Elitism Assumptions
- Derivation of the Expectation of Convergence Time
- Exact Expression
- Approximate and Asymptotic Expressions
- Conclusions and Future Work
- References
- Simplex Model Based Evolutionary Algorithm for Dynamic Multi-Objective Optimization
- Introduction
- Background
- Problem Definition
- Performance Criteria
- Previous Work
- A New Simplex Model Based Evolutionary Algorithm for DMOPs
- A Modified Simplex Model for Prediction
- PSO Based Evolutionary Algorithm for DMOPs
- Experiment Design
- Test Functions
- Parameter Settings
- Simulation Results
- Overall Results
- Evolved Pareto Fronts
- Conclusions and Future Work
- References
- Color Quantization Using Modified Artificial Fish Swarm Algorithm
- Introduction
- Artificial Fish Swarm Algorithm
- Proposed Algorithm
- Prey Behavior
- Follow Behavior
- Modified AFSA Procedure
- MAFSA Configuration for CQ
- Experiments
- Conclusion
- References
- Session 4: Intelligent Agent Systems
- Coordinated Learning for Loosely Coupled Agents with Sparse Interactions
- Introduction
- Learning to Coordinate
- Problem Description and Definitions
- Learning the Coordinated States
- Learning for Coordination
- Experiment
- Experimental Setting
- Results and Analysis
- Related Work
- Conclusion and Future Work
- References
- TATM: A Trust Mechanism for Social Traders in Double Auctions
- Introduction
- Related Work: Trust and Reputation Mechanisms
- The Trading Agent Trust Model
- Returning Updating Policy
- Action-Choosing and Decision-Making Policies
- Experimental Setup
- Traders
- Experiment Variables and Parameters
- Results
- Discussion and Conclusions
- References
- Sequential Single-Cluster Auctions for Robot Task Allocation
- Introduction
- Multi-robot Task-Allocation
- Sequential Auctions with Clusters
- Properties
- Experiment Setup
- Results
- Conclusions and Further Work
- References
- Correlation between Genetic Diversity and Fitness in a Predator-Prey Ecosystem Simulation
- Introduction
- The Model
- Entropy as a Measure of Genetic Diversity
- Measuring Correlation between Entropy and Fitness
- Building Classifier for Inference
- Conclusion
- References
- Is Revision a Special Kind of Update?
- Introduction
- Need for Selection Mechanisms
- Global Selection Mechanisms and Belief Revision
- Local Selection Mechanisms and Belief Update
- Distance Function as a Selection Mechanism
- Belief Revision as a Special Type of Belief Update
- Concluding Remarks
- References
- A Parallel, Multi-issue Negotiation Model in Dynamic E-Markets
- Introduction
- E-Market and Negotiation Issue
- E-Market Change and Agent's Response
- Issue's Significance and Relationship
- Offer Evaluation
- Counter-Offer Generation
- Experiment
- Experimental Settings
- Experimental Results
- Related Work
- Conclusion and Future Work
- References
- Parallel Monte Carlo Tree Search Scalability Discussion
- Introduction
- MCTS Algorithm Overview
- MCTS Iteration Steps
- Parallelization of Monte-Carlo Tree Search
- Some of the Existing Parallel Approaches
- Methodology
- MPI Usage
- Reversi
- Samegame
- Results and Analysis
- CPU MPI Implementation
- Multi GPU Implementation
- Scalability Analysis
- Random Sampling with Replacement
- Conclusions
- References
- How Questions Guide Choices: A Preliminary Logical Investigation
- How Questions Guide Choices
- A Simple Logic of Rational Choice
- Ceteris Paribus Preference Logic: The Atomic Case
- Adding Questions as Dynamic Operators
- Closing Remarks
- References
- Session 5: Logic and Reasoning
- A Defeasible Logic for Clauses
- Introduction
- Overview of Clausal Defeasible Logic (CDL)
- Clausal Defeasible Logic (CDL)
- Example
- Results
- Summary
- References
- Applying Multiple Classification Ripple Round Rules to a Complex Configuration Task
- Introduction and Previous Work
- Ripple Down Rules
- Using Classifications as Conditions
- Method
- Knowledge Representation
- Inference
- Knowledge Acquisition
- Task
- Results and Discussion
- Nature of the Knowledge Base
- Time Taken
- Cycles
- Conclusions and Further Work
- References
- Semantic Foundation for Preferential Description Logics
- Introduction
- Description Logics
- Propositional Preferential and Rational Consequence
- Semantics for DL Preferential Subsumption
- Rational Closure
- Related Work
- Conclusion and Future Work
- References
- From Approximate Clausal Reasoning to Problem Hardness
- Introduction
- Background
- S-3 Logics
- Logics of Limited Bivalence
- DPLL and Restricted Branching
- Problem Hardness and Strong Backdoors
- Clausal LB() Reasoning
- LB($S*$) Semantics
- Clausal Tableau
- Characterising RDPLL
- Approximate Logics to Problem Hardness
- Summary and Future Research
- References
- A Logic for Knowledge Flow in Social Networks
- Introduction
- Preliminaries
- Social Network Logic
- Theoretical Results
- Conclusion
- References
- Session 6: Vision and Graphics
- Object Detection by Admissible Region Search
- Introduction
- Overview of Admissible Region Search
- Admissible Region Search on Matrices
- Object Detection by Admissible Region Search
- Experimental Results
- A Toy Data
- PASCAL VOC 2006
- Conclusion and Discussion
- References
- Structured Light-Based Shape Measurement System of Human Body
- Introduction
- System Overview
- Proposed Approach
- Calibration
- Stripe Detection
- Outlier Detection
- Adaptively Iteration of Belief Propagation
- Experiment Results
- Conclusions
- References
- Fast Sub-window Search with Square Shape
- Introduction
- Efficient Sub-window Search (ESS) Algorithms
- ESS
- ?2-ESS (Chi-Square ESS)
- A-ESS (Alternating ESS)
- Proposed Algorithms
- Square ESS
- Square ?2-ESS
- Combination Square ESS and A-ESS
- Experiments
- Square ESS
- Square ?2-ESS
- Combination Square ESS and A-ESS
- Conclusions
- References
- Binocular Structured Light Stereo Matching Approach for Dense Facial Disparity Map
- Introduction
- Problem Formulation and Previous Work
- Binocular Structured Light Approach for Facial Disparity Map
- Selection of Stereo Matching Algorithm
- Simulated Experimental Results
- Conclusion and Future Work
- References
- Fast Object Detection with Foveated Imaging and Virtual Saccades on Resource Limited Robots
- Introduction
- Saliency Scan
- Field Edge Detection Using the Saliency Scan
- Multi-modal Object Analysis in Foveated Regions
- Ball Detection
- Goal Post Detection
- Performance in RoboCup
- Related Work
- Conclusion
- References
- Fast Multi-view Graph Kernels for Object Classification
- Introduction
- Inter- and Intra- view Linkage Graphs
- Segmenting Each View Image
- Constructing Inter- and Intra- view Linkage Graphs
- Multi-view Region Graphs
- Fast Multi View Graph Kernel
- Direct Walk Kernels
- Multi-view Region Product Graph
- Analysis of Computational Complexity
- Experimental Results and Analysis
- Classifying Multi View Images on ETH-80
- Discussions the Time Consumption
- Conclusions
- References
- Session 7: Image Processing
- Image Feature Selection Based on Ant Colony Optimization
- Introduction
- The ACO Algorithm for Image Feature Selection
- Implementation of the Algorithm
- Pheromone Updating
- The Fitness Function
- Experimental Results
- Conclusions
- References
- Realistic Smile Expression Recognition Using Biologically Inspired Features
- Introduction
- Biologically Inspired Model
- Modified BIM for Smile Classification
- A More Effective Pooling Operation Method
- Feature Selection by AdaBoost
- Other Strategies
- Classification System Using Boosted MBIF
- Experiments and Results
- GENKI Datasets
- Performance Comparison of MBIM against BIM
- Performance of MBIF against BIF, Gabor Feature and PHOG Feature
- Performance When Extracting Patches from Specified Area
- Performance of Clustering Patches
- Conclusion
- References
- Learning Colours from Textures by Sparse Manifold Embedding
- Introduction
- Related Works
- Colourising Images by Sparse Manifold Embedding
- Problem Formulation
- Manifold of Patches
- Estimating the Colours with Sparsity Constraints
- Experiment
- Representing Patches in Feature Vectors
- Experiment Results
- Conclusion
- References
- Investigating Particle Swarm Optimisation Topologies for Edge Detection in Noisy Images
- Introduction
- Background
- Particle Swarm Optimisation
- Neighbourhood Topologies
- PSO-Based Edge Detection Algorithm
- Experiment Design
- Results
- Conclusions
- References
- Adaptive Binarization Method for Enhancing Ancient Malay Manuscript Images
- Introduction
- State of the Art
- The Proposed Method
- The Experimen tal Results and Discussion
- Conclusion
- References
- Session 8: Natural Language Processing
- A New Approach to Use Concepts Definitions for Semantic Relatedness Measurement
- Introduction
- Related Work
- Proposed Method
- Definition-Based Relations
- Semantic Relatedness Measurement
- Evaluation
- Extraction of the Relations
- Evaluation Method and Results
- Discussion
- Conclusion and Future Work
- References
- Using a Lexical Dictionary and a Folksonomy to Automatically Construct Domain Ontologies
- Introduction
- Building Domain-Specific MKBs
- Evaluation
- Conclusions and Future Work
- References
- Generality Evaluation of Automatically Generated Knowledge for the Japanese ConceptNet
- Introduction
- Related Work
- Commonsense Knowledge Generation
- Definition
- System Overview
- Japanese WordNet
- Retrieving Sister Terms and Generating Sentences
- Noise Elimination Methods
- Co-occurrences in Snippets (a)
- Exact Match Ratio (b)
- Conjugated Keywords Hit Ratio
- Preliminary Experiments for Setting Noise Elimination Thresholds
- Evaluation Experiment and Its Results
- Conclusions and Future Work
- References
- Processing Coordinated Structures in PENG Light
- Introduction
- PENG Light
- The Language Processor
- Discourse Representation Structures (DRSs)
- Building Basic and Complex DRSs
- Building DRSs for Coordinated Structures
- Evaluation
- Conclusions
- References
- A Malay Stemmer for Jawi Characters
- Introduction
- Related Works
- Malay Affixes
- The Jawi Stemmer
- The Algorithm for the Malay Stemmer for Jawi Characters
- Experimental and the Results
- Conclusion
- References
- Session 9: Cognitive Modeling and Simulation Technology
- Executability in the Situation Calculus
- Introduction
- Background
- DFA-Literal-Based BAT Equivalence
- Lattice DFA-Context-Free BAT Equivalence
- Conclusion
- References
- Birdsong Acquisition Model by Sexual Selection Focused on Habitat Density
- Introduction
- Conventional Model
- Sasahara and Ikegami's Model
- Ritchie and Kirby's Model
- Composition of Computational Model
- Agent
- Song Set
- Song Pool
- Habitat Density
- The Life Cycle of an Agent
- Agent in Childhood
- Male Agent in Adulthood
- Female Agent in Adulthood
- Simulation and Discussion
- Results
- Comparison to the Greenish Warbler
- Conclusion
- References
- Speeding Up Bipartite Graph Visualization Method
- Introduction
- Problem Framework
- Proposed Method
- Proposed Algorithm
- Convergence Proof
- Evaluation by Experiments
- Network Data
- Brief Description of Other Visualization Methods Used for Comparison
- Experimental Results
- Conclusion
- References
- Enhancement of Learning Experience Using Skill-Challenge Balancing Approach
- Introduction
- Learning Experience and Flow Theory
- Skill-Challenge Balancing Approach
- Evaluation of Skill-Challenge Balancing Approach
- Method
- Results and Discussions
- Conclusion and Future Works
- References
- A Divide-and-Conquer Tabu Search Approach for Online Test Paper Generation
- Introduction
- Related Work
- Problem Specification
- Proposed Approach
- R-Tree Index Construction
- Content Constraint Satisfaction
- Assessment Constraint Optimization
- Tabu Search
- Performance Evaluation
- Conclusion
- References
- On the Interactions of Awareness and Certainty
- Introduction
- The Logics of Dynamic Knowledge and Awareness
- Language
- Implicit Knowledge
- Strong Implicit Knowledge
- Latent Knowledge
- Tacit Knowledge
- Comparative Analysis of Latent, Tacit and Strong Implicit Knowledge
- Related Approaches
- Conclusion and Future Work
- References
- On the Implementation of a Theory of Perceptual Mapping
- Introduction
- A Theory of Perceptual Mapping
- Implementations and Results
- Algorithm #1
- Algorithm #2
- Discussions
- Conclusion
- References
- Session 10: AI Applications
- Robotic Communications and Surveillance - The DARPA LANdroids Program
- Introduction
- The Challenging Urban RF Environment
- The LANdroids System Concept
- Landroids Software and Hardware
- LANdroids Software Capabilities and Development Efforts
- LANdroids Hardware Requirements and Prototype Platforms
- LANdroids Testing
- Phase I Formal Evaluation
- Phase II Formal Evaluation
- Phase II Field Demonstration
- Conclusions: Issues and Next Steps
- References
- Data Extraction for Search Engine Using Safe Matching
- Introduction
- Related Work
- SafeMatch Wrapper
- Overview of SafeMatch
- SafeMatch Extraction Module
- Experimental Tests
- Conclusions
- References
- Automatic Static Feature Generation for Compiler Optimization Problems
- Introduction
- Related Work
- Our Approach
- Frequency Thresholding
- Information Gain(IG)
- 2 Statistics (CHI)
- Experimental Setup
- Compiler
- Flags
- Plateforms
- Benchmarks
- Experiments
- Experimental Results
- Conclusion and Future Work
- References
- Multi-objective Optimisation of Power Restoration in Electricity Distribution Systems
- Introduction
- The Network Reconfiguration Problem
- Multi-objective Approach
- Genetic Algorithm Approach
- Pseudocode
- Objective Function and Pareto's Dominance
- Representation and Initialization
- Recombination - Selection, Crossover and Mutation
- Acceptance Policy
- Computational Results
- Conclusion
- References
- Reasoning over OWL/SWRL Ontologies under CWA and UNA for Industrial Applications
- Introduction
- Technical Details
- Concept Framework
- Building Rule Base
- Reasoning Algorithm
- Handling Special Rules and Atoms
- Experiments
- Conclusion
- References
- Tracking the Preferences of Users Using Weak Estimators
- Introduction
- State of the Art
- SLWE-Based Solution to Adaptation to User's Interests Drift
- Profile Representation
- Profile Updating Method
- Experimental Results
- Conclusions
- References
- Dynamic Auction for Efficient Competitive Equilibrium under Price Rigidities
- Introduction
- The Market Model
- Dynamic Auction Procedure under Price Rigidities
- Calculation and Comparison
- Conclusion and Related Work
- References
- Author Index
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