Description |
1 online resource (xi, 340 pages) : illustrations |
Series |
Advances in intelligent systems and computing, 2194-5357 ; volume 539 |
|
Advances in intelligent systems and computing ; v. 539.
|
Contents |
Preface; Contents; Applications of Machine Learning; Maximum Likelihood Estimation and Optimal Coordinates; 1 Introduction; 2 Entropy and Gaussian Random Variables; 3 Rescaling; 4 Main Result; 5 Conclusion; References; Domain Adaptation for Image Analysis: An Unsupervised Approach Using Boltzmann Machines Trained by Perturbation; 1 Introduction; 2 Unsupervised Domain Adaptation Problem; 3 Boltzmann Machines; 4 Perturb-and-MAP Learning Algorithm; 5 Experiments; 6 Discussion and Conclusion; References; Relation Recognition Problems and Algebraic Approach to Their Solution; Abstract |
|
1 Introduction2 Basic Notions; 3 Solution of Simple and Extended RR Problems; 4 Solution of Matching RR Problems; 5 Solution of Constructive RR Problems; 6 The CRR Problem; 7 Conclusions; Acknowledgement; References; Prediction of Power Load Demand Using Modified Dynamic Weighted Majority Method; Abstract; 1 Introduction; 2 Related Work; 3 Proposed Method; 3.1 Modified Dynamic Weighted Majority Method; 3.2 Dynamic Weighted Majority with Decomposition; 3.3 Technical Issues; 3.4 Optimization of Parameters by Particle Swarm Optimization; 4 Evaluation; 4.1 Data Description; 5 Conclusion |
|
AcknowledgementsReferences; Estimating Cluster Population; Abstract; 1 Introduction; 2 Review of Existing Approaches; 3 Estimation of Cluster Population; 3.1 Preliminaries; 3.2 Adaptive Bucketing; 3.3 Aggregating Bucket Clusters; 3.4 Nudging; 4 Results and Discussion; References; Evaluation of Particle Swarm Optimisation for Medical Image Segmentation; 1 Introduction; 2 Overview of PSO-Based Algorithms; 2.1 Particle Swarm Optimisation (PSO); 2.2 Darwinian Particle Swarm Optimisation (DPSO); 2.3 Fractional Order Darwinian Particle Swarm Optimisation (FODPSO); 3 Experimental Work |
|
3.1 Segmentation of Brain in MRI Images3.2 Volume Reconstruction; 3.3 Automatic Editing of CT Images; 4 Conclusion; References; Automated Processing of Micro-CT Scans Using Descriptor-Based Registration of 3D Images; 1 Introduction; 2 Problem Statement; 3 Materials and Methods; 4 Results and Discussion; 5 Conclusion; References; Gender Recognition Based on Speaker's Voice Analysis; 1 Introduction; 2 Algorithm Description; 3 Summary and Conclusions; References; Topic Modeling Based on Frequent Sequences Graphs; 1 Introduction; 2 Topic Modeling Methods; 3 Methodology; 3.1 Method Overview |
|
3.2 Building Frequent N-grams3.3 Finding Significant Edges; 3.4 Topic Modeling; 4 Experiment Results and Discussion; 5 Concluding Remarks and Future Research; References; Gaussian Process Regression with Categorical Inputs for Predicting the Blood Glucose Level; 1 Introduction; 2 Methodology; 2.1 Gaussian Process Regression Model; 2.2 Prediction; 2.3 Learning; 3 Experiment; 3.1 Data Description; 3.2 Experiment Details; 3.3 Results and Discussion; 4 Conclusion; References; Automated Information Extraction and Classification of Matrix-Based Questionnaire Data; 1 Introduction |
Summary |
This book gathers the carefully reviewed proceedings of the 19th International Conference on Systems Science, presenting recent research findings in the areas of Artificial Intelligence, Machine Learning, Communication/Networking and Information Technology, Control Theory, Decision Support, Image Processing and Computer Vision, Optimization Techniques, Pattern Recognition, Robotics, Service Science, Web-based Services, Uncertain Systems and Transportation Systems. The International Conference on Systems Science was held in Wroclaw, Poland from September 7 to 9, 2016, and addressed a range of topics, including systems theory, control theory, machine learning, artificial intelligence, signal processing, communication and information technologies, transportation systems, multi-robotic systems and uncertain systems, as well as their applications. The aim of the conference is to provide a platform for communication between young and established researchers and practitioners, fostering future joint research in systems science |
Notes |
Includes author index |
|
Online resource; title from PDF title page (SpringerLink, viewed November 16, 2016) |
Subject |
Systems engineering -- Congresses
|
|
System theory -- Congresses
|
|
Control theory -- Congresses
|
|
Machine learning -- Congresses
|
|
SCIENCE -- System Theory.
|
|
TECHNOLOGY & ENGINEERING -- Operations Research.
|
|
Control theory
|
|
Machine learning
|
|
System theory
|
|
Systems engineering
|
Genre/Form |
proceedings (reports)
|
|
Conference papers and proceedings
|
|
Conference papers and proceedings.
|
|
Actes de congrès.
|
Form |
Electronic book
|
Author |
Świątek, Jerzy, editor
|
|
Tomczak, Jakub M., editor
|
ISBN |
9783319489445 |
|
3319489445 |
|