Research and Development in Intelligent Systems XXXII

Name: Research and Development in Intelligent Systems XXXII | Incorporating Applications and Innovations in Intelligent Systems XXIII
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Incorporating Applications and Innovations in Intelligent Systems XXIII

Max Bramer Miltos Petridis(Herausgeber*in)

Springer (Verlag)

Erschienen am 16. November 2015

XIV, 410 Seiten

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978-3-319-25032-8 (ISBN)

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Inhalt

Intro
Programme Chairs' Introduction
Acknowledgements/Committees
AI-2015 Conference Committee
Technical Executive Programme Committee
Applications Executive Programme Committee
Technical Programme Committee
Application Programme Committee
Contents
Research and Development in Intelligent Systems XXXII
Best Technical Paper
Sparse Covariance Matrix Adaptation Techniques for Evolution Strategies
1 Introduction
2 Evolution Strategies
2.1 Covariance Matrix Adaptation: The Population Covariance
2.2 Step-Size Adaptation
3 A Sparse Covariance Matrix Adaptation
3.1 Space Transformation
3.2 Sparse Covariance Matrix Estimation
4 Experiments
4.1 Test Suite Und Performance Measure
4.2 Results and Discussion
5 Conclusions and Outlook
References
Knowledge Discovery and Data Mining
A Replicator Dynamics Approach to Collective Feature Engineering in Random Forests
1 Introduction
2 Diversified Random Forests: An Overview
3 Replicator Dynamics
4 Applying Replicator Dynamics to an DRF
5 Experimental Study
6 Related Work
7 Conclusion and Future Work
References
A Directed Acyclic Graph Based Approach to Multi-Class Ensemble Classification
1 Introduction
2 Literature Review
3 Directed Acyclic Graph (DAG) Classification Model Framework
3.1 DAG Generation
3.2 DAG Operation
4 Experiments and Evaluation
4.1 Comparison Between DAG Approaches
4.2 Comparison Between Stand-Alone Classification, Bagging, Binary Tree, OVO SVM and DAG Ensemble Classification
4.3 Note on Efficiency
5 Conclusion
References
CLUB-DRF: A Clustering Approach to Extreme Pruning of Random Forests
1 Introduction
2 Related Work
2.1 Diversity Creation Methods
2.2 Diversity Measures
3 Proposed Extension: CLUB-DRF
3.1 Clustering-Based Diverse Random Forest (CLUB-DRF)
3.2 Diversity Measure
4 Experimental Study
4.1 Results
4.2 Analysis
4.3 Pruning Level
4.4 Performance Comparison with Pruned Neural Network Ensemble
5 Conclusion and Future Directions
References
Machine Learning and Knowledge Acquisition
Fast Handwritten Digit Recognition with Multilayer Ensemble Extreme Learning Machine
1 Introduction
2 Problem Definition
3 Related Work
3.1 Single Hidden Layer Feedforward Neural Networks
3.2 Multiple Hidden Layer Feedforward Neural Networks
3.3 Convolutional Neural Networks
3.4 Other Approaches
4 Extreme Learning Machines
4.1 Review of Extreme Learning Machine
4.2 Ensemble ELM
4.3 Multilayer ELM
4.4 Multilayer Ensemble ELM
5 Experimental Setup and Evaluation
6 Conclusion
References
Stylochronometry: Timeline Prediction in Stylometric Analysis
1 Introduction
2 Previous Work
3 Data and Methods
3.1 Corpora
3.2 Timeline Compression and Analysis
4 Experiments
4.1 Data Preparation
4.2 Variable Selection and Model Evaluation
4.3 Results
5 Discussion
6 Conclusion
References
7 Semantic Analysis for Document Similarity and Search Queries
Abstract
1 Introduction
2 Previous Research
3 Dream Interpretations
4 Semantic Analysis of Search Queries
5 Results
6 Conclusion and Further Work
References
Social Trust in a Familiar Community
1 Introduction
2 Literature Review
2.1 Trust, Experience and Familiarity
2.2 Evaluation of Familiarity and Experience
3 Modelling Trust from a Community
3.1 Familiarity-Experience Based Social Trust
3.2 Collection of Data
3.3 Analysis with Data
4 Conclusion
References
AI in Action
Surface Reconstruction from Point Clouds Using a Novel Variational Model
1 Introduction
2 Preprocessing
2.1 Distance Function for Point Cloud Using Fast Sweeping
2.2 The Volume Enclosed by Point Cloud Using the Distance Function
3 The Proposed Variational Model for Optimising Reconstruction
4 Discretisation
5 Experiments
6 Conclusion
References
3D Spatial Reasoning Using the Clock Model
1 Introduction
2 Clock-Based 3D Qualitative Spatial Relations
3 Experiments and Discussion
4 Conclusions
References
Scheduling with Structured Preferences
1 Introduction
2 Background
2.1 DTPs and VDTPs
2.2 Utility Difference Networks
3 Motivating Example
4 Generalizing VDTPs to CDI-VDTPs
5 Solving CDI-VDTPs
6 Experimental Results
7 Related Work
8 Conclusions
References
12 An Optimisation Algorithm Inspired by Dendritic Cells
Abstract
1 Introduction
2 Dendritic Cells and the Optimization Framework
2.1 Human Dendritic Cells
2.2 The DC-Mediated Framework
2.2.1 Threat Quantification
2.2.2 Signal Cascading Network and Effector Control
3 Experimental Studies
3.1 Quality of Solutions
3.2 Diversity of Solutions
4 Conclusions
References
Short Papers
Graph-Based Multi-Document Summarization: An Initial Investigation
1 Introduction
2 Related Work
3 The Proposed Model
3.1 Pre-processing
3.2 Building the Intermediate Representation
3.3 Computing the Content and the Coherence Scores
3.4 Selecting and Ordering Summary Sentences
4 Conclusion
References
Towards Expressive Rule Induction on IP Network Event Streams
1 Introduction
2 Online Generalised Rule Induction Framework
2.1 OGRI Framework
2.2 Online Generalised Rule Induction
3 Conclusions
References
A Hybrid Ensemble for Classifying and Repurposing Financial Entities
1 Introduction
2 Related Work
3 Experimentation
3.1 Rule Base
3.2 Machine Learning Base
4 Results
5 Discussion
6 Future Work
References
16 Data Mining and Knowledge Discovery Approach for Manufacturing in Process Data Optimization
Abstract
1 Introduction
2 Method
2.1 Co-linearity Index (CLI)
2.2 Scores Projected Space to Predict the Optimal Variables Range and Variables Recommendation
3 Conclusion
References
Applications and Innovations in Intelligent Systems XXIII
Best Technical Paper
17 Development of Temporal Logic-Based Fuzzy Decision Support System for Diagnosis of Acute Rheumatic Fever/Rheumatic Heart Disease
Abstract
1 Introduction
2 ARF Symptoms and Diagnosis Process
2.1 Signs and Symptoms of ARF
2.2 Diagnosis Process of ARF
2.3 Purposed Model for Diagnosis of ARF
2.4 Signs and Symptoms for Different Level of the Severity
3 Methodology
3.1 Knowledge-Base and Rules to Diagnose of ARF
3.1.1 Search and Match Stage (SMS)
3.1.2 Rule Pattern Matching (RPM)
3.1.3 New Rule Formation (NRF)
3.1.4 Rule Selection Mechanism (RSM)
3.2 Temporal Logic and Temporal Rule (TR)
3.2.1 Relation Between Arthritis and Other Symptoms: Absolutely Positive Case
3.2.2 Temporal Reasoning (TR) and Temporal Guideline (TG)
3.3 Fuzzy Logic
3.3.1 Fuzzy Inferences
4 System Development
4.1 User Interface for Diagnosis of ARF Application
5 System Testing and Conclusion
References
Applications of Genetic Algorithms
18 Optimising Skill Matching in the Service Industry for Large Multi-skilled Workforces
Abstract
1 Introduction
2 Skill Matching Problem
2.1 Problem Description
3 Solution Methods
3.1 GA
3.1.1 Solution Representation
3.1.2 Operators
3.1.3 Fitness Function
3.1.4 Pseudo Code
3.1.5 GA Implementation
3.2 Simple Planner Heuristic
3.3 Linear Program
4 Experiments
4.1 Motivation
4.2 Experimental Method
5 Results
5.1 Solution Cost
5.2 Skill Variances
5.3 Analysis
6 Conclusions
References
Hybrid Optimization Approach for Multi-Layer FTTH Network Design
1 Introduction
2 Related Work
3 Problem Statement
4 Hybrid Optimization Approach
4.1 Finding JB Locations
4.2 Generating the Duct Layer
4.3 Creating the Cable Layer
5 Results
5.1 Locations of Joint Boxes
5.2 Creation of Duct Layer
5.3 Generation of Cable Layer
6 Conclusion
References
20 A Genetic Algorithm Based Approach for Workforce Upskilling
Abstract
1 Introduction
2 Overview of the Skill Optimisation Problem
2.1 Overview of Multi-skilled Engineers
2.2 Objective and Constraints
3 Overview of Genetic Algorithms
4 The Proposed GA Based Skill Optimisation System
5 Experiments and Results
6 Conclusions and Future Work
References
Applications of Intelligent Agents and Evolutionary Techniques
Multi Agent Based Simulation Using Movement Patterns Mined from Video Data
1 Introduction
2 Previous Work
3 Video Data Set
4 Pattern Mining Framework
4.1 Grid Representation
4.2 Movement Patterns
5 Simulation Framework
6 Evaluation
7 Case Study
8 Conclusion
References
22 Assembly of Neural Networks Within a Federation of Rational Agents for the Diagnosis of Acute Coronary Syndromes
Abstract
1 Introduction
2 Methodology
2.1 Analysis and Design of the Multi-agent System
2.2 Description of the Cooperation Model
2.3 Selection of Assembly Model
2.3.1 Description of the Database
2.3.2 Training and Neural Network Tests
2.3.3 Tests with the Assembly Models
3 Results
4 Discussion
5 Conclusions
Acknowledgments
References
Cluster Analysis of Face Images and Literature Data by Evolutionary Distance Metric Learning
1 Introduction
2 Evolutionary Distance Metric Learning
2.1 Global Distance Metric Learning
2.2 Neighborhood Smoothing of Clustering Index
2.3 Self-organizing Map
2.4 K-Means Clustering with K-Nearest Neighbor Centroids Graph
2.5 Evolutionary Distance Metric Learning Framework
2.6 DE with Self-Adapting Control Parameters and Generalized Opposition-Based Learning: GOjDE
3 Application to Face Recognition
3.1 Experimental Settings
3.2 Results
4 Application to Literature Data
4.1 Preprocessing and Settings
4.2 Results
4.3 Discussion
5 Conclusion and Future Work
References
AI Applications
24 A Novel K-Means Voice Activity Detection Algorithm Using Linear Cross Correlation on the Standard Deviation of Linear Predictive Coding
Abstract
1 Introduction
2 Voice Activity Detection (VAD)
3 Linear Predictive Coding (LPC)
4 Proposed System
4.1 Linear Cross Correlation (LCC) Stage
4.2 K-Means Clustering Stage
4.2.1 Modifications to K--Means
5 Methodology
6 Experimental Data
7 Results
8 Conclusion
9 Future Work
Acknowledgements
References
Opinionated Explanations for Recommendation Systems
1 Introduction
2 Opinionated Recommendation
2.1 Review Feature Extraction
2.2 Sentiment Analysis
2.3 Item Feature Mapping
2.4 Case Generation: Constructing Item Cases
2.5 Case Generation: Constructing User Profiles
3 From Opinions to Compelling Explanations
3.1 Generating a Basic Explanation Structure
3.2 Filtering Compelling Explanations
3.3 From Explanations to Ranking
4 The Explanation Interface
5 Evaluation
5.1 Offline Evaluation
5.2 Live-User Study
6 Conclusions
References
The Influence of Virtual Reality on the Perception of Artificial Intelligence Characters in Games
1 Motivation
2 Background
3 Method
3.1 Ethical Considerations
4 Test-Bed Games
4.1 Racing Game
4.2 First Person Shooter
4.3 Headset and Input Device
5 Results
6 Conclusion and Future Work
References
Short Papers
27 Eugene: A Generic Interactive Genetic Algorithm Controller
Abstract
1 Introduction
2 Genetic Algorithms
3 Interactive Genetic Algorithms
4 Eugene
5 Evaluation
6 Discussion
7 Conclusion
References
Automatically Geotagging Articles in the Welsh Newspapers Online Collection
1 Introduction
2 Metadata and Geotagging
3 Methods
4 Results
5 Conclusions
References
Contextual Sequential Pattern Mining in Games: Rock, Paper, Scissors, Lizard, Spock
1 Introduction
2 The Game Interface
3 Formal Background
4 Discussion
4.1 Preliminary Results
4.2 Related Work
References
On the Way Towards Automated Planning and Budgeting: Combining Fuzzy Planning with CBR Learning Systems
1 Issues and Challenges of Planning and Budgeting
2 Recent Research
2.1 FULPAL---A Fuzzy P&B Approach
2.2 CBR Learning Systems
3 Combing FULPAL with CBR
4 Evaluation and Ongoing Work
5 Conclusions and Future Work
References
A Comparative Analysis of Ranking Methods in a Hybrid Filter-Wrapper Model for Feature Selection in DNA Microarrays
1 Introduction
2 Filter Methods for Variable Ranking
2.1 Univariate Method: Mutual Information
2.2 Multivariate Method: Recursive Feature Elimination
3 Wrapper Method: Genetic Algorithm and SVM
4 Expermiments and Results
5 Conclusion
References
32 A New Content-Based Recommendation Algorithm for Job Recruiting
Abstract
1 Introduction
2 The Proposed Algorithm
3 Experimental Evaluation
4 Conclusion and Future Work
References
Mining Fuzzy Time-Interval Patterns in Clinical Databases
1 Introduction
2 Sequential Patterns Mining with Fuzzy Time-Intervals
3 Case Study in Clinical Databases
3.1 Breast Cancer Data System
3.2 Mining Results
3.3 Evaluation
4 Conclusion
References
A Sense-Think-Act Architecture for Low-Cost Mobile Robotics
1 Background and Motivation
2 Prototype Robot Platform
2.1 Hardware
2.2 Implementation
3 Testing
4 Conclusions and Future Work
References

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