Research and Development in Intelligent Systems XXXII [electronic resource] : Incorporating Applications and Innovations in Intelligent Systems XXIII /
Bramer, Max.editor.
Petridis, Miltos.editor.
The papers in this volume are the refereed papers presented at AI-2015, the Thirty-fifth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2015 in both the technical and the application streams. They present new and innovative developments and applications, divided into technical stream sections on Knowledge Discovery and Data Mining, Machine Learning and Knowledge Acquisition, and AI in Action, followed by application stream sections on Applications of Genetic Algorithms, Applications of Intelligent Agents and Evolutionary Techniques, and AI Applications. The volume also includes the text of short papers presented as posters at the conference. This is the thirty-second volume in the Research and Development in Intelligent Systems series, which also incorporates the twenty-third volume in the Applications and Innovations in Intelligent Systems series. These series are essential reading for those who wish to keep up to date with developments in this important field.  .
Description based upon print version of record.
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 Estimation4 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 Review3 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 Measure4 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 Machine4.2 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
Includes bibliographical references at the end of each chapters.
The papers in this volume are the refereed papers presented at AI-2015, the Thirty-fifth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2015 in both the technical and the application streams. They present new and innovative developments and applications, divided into technical stream sections on Knowledge Discovery and Data Mining, Machine Learning and Knowledge Acquisition, and AI in Action, followed by application stream sections on Applications of Genetic Algorithms, Applications of Intelligent Agents and Evolutionary Techniques, and AI Applications. The volume also includes the text of short papers presented as posters at the conference. This is the thirty-second volume in the Research and Development in Intelligent Systems series, which also incorporates the twenty-third volume in the Applications and Innovations in Intelligent Systems series. These series are essential reading for those who wish to keep up to date with developments in this important field.  .
Artificial intelligence.
Data mining.
Artificial Intelligence.
Data Mining and Knowledge Discovery.