Advances in systems science : proceedings of the International Conference on Systems Science 2016 (ICSS 2016)

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 Pr...

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Bibliographic Details
Corporate Author: International Conference on Systems Science Wrocław, Poland)
Other Authors: Świątek, Jerzy, (Editor), Tomczak, Jakub M., (Editor)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, [2016]
Series: Advances in intelligent systems and computing ; v. 539.
Subjects:
ISBN: 9783319489445
9783319489438
Physical Description: 1 online resource (xi, 340 pages) : illustrations

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Table of contents

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111 2 |a International Conference on Systems Science  |n (19th :  |d 2016 :  |c Wrocław, Poland) 
245 1 0 |a Advances in systems science :  |b proceedings of the International Conference on Systems Science 2016 (ICSS 2016) /  |c Jerzy Świątek, Jakub M. Tomczak, editors. 
246 3 |a ICSS 2016 
264 1 |a Cham, Switzerland :  |b Springer,  |c [2016] 
264 4 |c ©2017 
300 |a 1 online resource (xi, 340 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Advances in intelligent systems and computing,  |x 2194-5357 ;  |v volume 539 
505 0 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
500 |a Includes author index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Systems engineering  |v Congresses. 
650 0 |a System theory  |v Congresses. 
650 0 |a Control theory  |v Congresses. 
650 0 |a Machine learning  |v Congresses. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Świątek, Jerzy,  |e editor. 
700 1 |a Tomczak, Jakub M.,  |e editor. 
776 0 8 |i Print version:  |a International Conference on Systems Science (19th : 2016 : Wrocław, Poland).  |t Advances in systems science.  |d Cham, Switzerland : Springer, [2016]  |z 3319489437  |z 9783319489438  |w (OCoLC)959950562 
830 0 |a Advances in intelligent systems and computing ;  |v v. 539. 
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