Adaptive and Intelligent Systems : Third International Conference, ICAIS 2014, Bournemouth, UK, September 8-10, 2014. Proceedings

This book constitutes the proceedings of the International Conference on Adaptive and Intelligent Systems, ICAIS 2014, held in Bournemouth, UK, in September 2014. The 19 full papers included in these proceedings together with the abstracts of 4 invited talks, were carefully reviewed and selected from 32 submissions. The contributions are organized under the following topical sections: advances in feature selection; clustering and classification; adaptive optimization; advances in time series analysis. Adaptive and Intelligent Systems Preface 5 Organization 7 Invited Talks 9 Feature Extraction for Change Detection 10 Distributed Data Stream Mining 11 Music Lessons and Other Exercises 12 Adaptive Ambient Intelligence and Smart Environments 13 Table of Contents 14 Advances in Feature Selection 14 A Hierarchical Infinite Generalized Dirichlet Mixture Model with Feature Selection 16 1 Introduction 16 2 The Model 17 2.1 The Hierarchical Dirichlet Process Mixture Model 17 2.2 Hierarchical DP Mixture Model of GD Distributions with Feature Selection 19 3 Variational Model Learning 20 4 Experimental Results 21 4.1 Experimental Setting 21 4.2 Data Set 22 5 Conclusion 24 References 24 Importance of Feature Selection for Recurrent Neural Network Based Forecasting of Building Thermal Comfort 26 1 Introduction 26 2 Data and Methods 28 2.1 Thermal Comfort Model 28 2.2 F40 Building Model 28 2.3 Data 29 2.4 Neural Networks 30 2.5 Feature Selection 31 3 Experiments 31 4 Discussion and Conclusions 33 References 34 Classifying Textures with Only 10 Visual-Words Using Hidden Markov Models with Dirichlet Mixtures 35 1 Introduction 35 2 Application to Texture Classification 37 2.1 Textons Dictionary Building 37 2.2 Series of Histograms Computation 38 2.3 Model Computation and Classification 38 2.4 Baseline Method 38 3 Experimental Results 39 3.1 Results 39 3.2 Comparison and Interpretation 40 4 Conclusion 42 References 42 A Novel Method for Scene Categorization Using an Improved Visual Vocabulary Approach 44 1 Introduction 44 2 AGGM Model 46 2.1 Expectation-Maximization 47 2.2 Minimum Message Length 48 3 Scene Categorization 49 3.1 Evaluation 52 3.2 Results 52 4 Conclusion 53 References 53 Clustering and Classification 14 Learning Sentiment from Students’ Feedback for Real-Time Interventions in Classrooms 55 1 Introduction 55 2 Related Work 56 2.1 Preprocessing 57 2.2 Features 58 2.3 Machine Learning Techniques 58 3 Data Corpus 58 4 Learning Sentiment from Students’ Feedback 59 4.1 Naive Bayes and Complement Naive Bayes 59 4.2 Maximum Entropy 60 4.3 Support Vector Machines (SVM) 60 5 Results and Discussion 60 6 Conclusions and Future Work 62 References 63 Decremental Rough Possibilistic K-Modes 65 1 Introduction 65 2 Possibility and Rough Set Theories 66 2.1 Possibility Theory 66 2.2 Rough Set Theory 67 3 The k-Modes Method under Uncertainty 67 3.1 The k-Modes Method 67 3.2 The Improvements of SKM Method 68 4 The Decremental RPKM Approach 69 4.1 Description 69 4.2 Parameters and Algorithm 69 5 Experiments 70 5.1 The Framework 70 5.2 Evaluation Criteria 71 5.3 Experimental Results 71 6 Conclusion 73 References 73 A Dynamic Bayesian Model of Homeostatic Control 75 1 Introduction 75 2 Methods 76 2.1 Prior Dynamics 77 2.2 Probabilistic Goals 77 2.3 Posterior Dynamics 78 2.4 State Posterior 78 2.5 Trajectories 79 2.6 KL Control 80 3 Results 80 3.1 Binary Goals 80 3.2 Homeostatic Goals 81 4 Discussion 83 References 84 ICALA: Incremental Clustering and Associative Learning Architecture 85 1 Introduction 85 2 Incremental Clustering and Associative Learning Architecture 86 2.1 Modified Self-organizing Incremental Neural Network 87 2.2 Temporal-Order Sensitive Associative Memory 88 2.3 Synchronisation of M-SOINN and TOSAM 88 3 Methods 89 4 Results 91 5 Discussion 92 6 Conclusions 93 References 93 Context Identification and Exploitation in Dynamic Data Mining – An Application to Classifying Electricity Price Changes 95 1 Introduction 95 2 Problem Formulation 96 3 Context Learning 97 3.1 Information Theoretic Measures 97 3.2 Context Variable Identification 98 3.3 Computational Solution 98 4 Training Example Weighting 99 5 Evaluation 99 5.1 Context Identification 99 5.2 Context Exploitation 101 6 Conclusions and Future Work 103 References 104 Adaptive Optimization 15 Towards a Better Understanding of the Local Attractor in Particle Swarm Optimization: Speed and Solution Quality 105 1 Introduction 105 2 Preliminaries 107 3 Setting 108 4 Results on the Social-Only PSO Algorithm 109 4.1 Impact of the Local Attractor on Exploration 109 4.2 Impact of the Local Attractor on Exploitation 112 5 Concluding Remarks 113 References 113 A Models@run.time Approach for Multi-objective Self-optimizing Software 115 1 Introduction 115 2 Running Example: Confidential Sorting 116 3 Single-objective Self-optimization 116 3.1 The Quality Contract Language (QCL) 117 3.2 Automatic Generation of Integer Linear Programs 117 4 Multi-objective Self-optimization 119 5 Evaluation 120 5.1 Approach and Methodology 120 5.2 Results 121 5.3 Discussion 123 6 Related Work 123 7 Conclusion 124 References 124 Reference Architecture for Self-adaptive Management in Wireless Sensor Networks 125 1 Introduction 125 2 Self-adaptive WSN Requirements 127 3 Reference Architecture for Self-adaptive Management of WSN 128 3.1 Architectural Styles and Design Patterns 128 3.2 Reference Architecture Components 129 4 Case Study 132 5 Final Remarks and Related Work 134 References 134 Monitoring of Quality of Service in Dynamically Adaptive Systems 136 1 Introduction 136 2 Quality of Service: Parameters and Classification 137 3 Overview of the Proposed Approach 138 3.1 QoS Monitoring 139 4 Illustrative Example 143 5 Related Work 144 6 Conclusion and Future Work 145 References 145 Future Prospects of Human Interaction with Artificial Autonomous Systems 146 1 Introduction 146 2 Future Decision Support and Expert Systems as Research Tools 148 3 Future Augmented Human Intelligence Based on BCI 150 4 Conclusions 154 References 155 Advances in Time Series Analysis 15 Empirical Identification of Non-stationary Dynamics in Time Series of Recordings 157 1 Introduction 157 2 Analyses 158 2.1 Canonical Model of Two-Class Problems 158 2.2 Non-stationary Perturbations 159 3 Results 161 3.1 Identifying Attractor Dynamics in Stationary Settings 161 3.2 Inferring Subtle Variations in Attractor Dynamics 162 4 Discussion and Conclusions 165 References 165 Physical Time Series Prediction Using Dynamic Neural Network Inspired by the Immune Algorithm 167 1 Introduction 167 2 Self-organised Multilayer Network Inspired by Immune Algorithm (SONIA) 169 3 Dynamic Self-organised Multilayer Network Inspired by the Immune Algorithm (DSMIA) 169 4 Time Series Prediction Using the Dynamic Self-organised Multilayer Network Inspired by the Immune Algorithm 171 4.1 Time Series Used in the Experiments 171 4.2 Experimental Designs 171 4.3 Simulation Results 172 5 Conclusion 175 References 175 Collaborative Wind Power Forecast 177 1 Introduction 177 2 Collaborative Forecast for Network Data 178 2.1 Finding Motifs 179 2.2 Computation from Correlation Matrices 179 2.3 Persistence 179 2.4 ARIMA Modelling 180 3 Experimental Setup 181 3.1 Data 181 3.2 Error Measure 181 3.3 Evaluation of the Predicted Methods 182 4 Conclusions and Future Work 185 References 186 QoS-Based Reputation Feedback Fusion under Unknown Correlation 187 1 Introduction and Related Work 187 2 QoS-Based Reputation 189 3 Kalman Filter for Service Reputation 190 4 Proposed Aggregation Methods 191 4.1 Covariance Intersection 192 4.2 Ellipsoidal Intersection 192 5 Experimental Evaluation 193 6 Conclusion 195 References 195 Multi-resident Activity Recognition Using Incremental Decision Trees 197 1 Introduction 197 2 Details of E-ID5R 199 2.1 Construction of the Initial Tree 199 2.2 Classification of New Instances 200 2.3 Evolution of the Tree 201 3 Evaluation 202 4 Conclusion 204 References 204 Author Index 207 Front Matter....Pages - A Hierarchical Infinite Generalized Dirichlet Mixture Model with Feature Selection....Pages 1-10 Importance of Feature Selection for Recurrent Neural Network Based Forecasting of Building Thermal Comfort....Pages 11-19 Classifying Textures with Only 10 Visual-Words Using Hidden Markov Models with Dirichlet Mixtures....Pages 20-28 A Novel Method for Scene Categorization Using an Improved Visual Vocabulary Approach....Pages 29-39 Learning Sentiment from Students’ Feedback for Real-Time Interventions in Classrooms....Pages 40-49 Decremental Rough Possibilistic K-Modes....Pages 50-59 A Dynamic Bayesian Model of Homeostatic Control....Pages 60-69 ICALA: Incremental Clustering and Associative Learning Architecture....Pages 70-79 Context Identification and Exploitation in Dynamic Data Mining - An Application to Classifying Electricity Price Changes....Pages 80-89 Towards a Better Understanding of the Local Attractor in Particle Swarm Optimization: Speed and Solution Quality....Pages 90-99 A Models@run.time Approach for Multi-objective Self-optimizing Software....Pages 100-109 Reference Architecture for Self-adaptive Management in Wireless Sensor Networks....Pages 110-120 Monitoring of Quality of Service in Dynamically Adaptive Systems....Pages 121-130 Future Prospects of Human Interaction with Artificial Autonomous Systems....Pages 131-141 Empirical Identification of Non-stationary Dynamics in Time Series of Recordings....Pages 142-151 Physical Time Series Prediction Using Dynamic Neural Network Inspired by the Immune Algorithm....Pages 152-161 Collaborative Wind Power Forecast....Pages 162-171 QoS-Based Reputation Feedback Fusion under Unknown Correlation....Pages 172-181 Multi-resident Activity Recognition Using Incremental Decision Trees....Pages 182-191 Back Matter....Pages -