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000777829 019__ $$a965534760
000777829 020__ $$a9783319489445$$q(electronic book)
000777829 020__ $$a3319489445$$q(electronic book)
000777829 020__ $$z9783319489438
000777829 035__ $$aSP(OCoLC)ocn962303228
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000777829 049__ $$aISEA
000777829 050_4 $$aTA168
000777829 08204 $$a003$$222
000777829 1112_ $$aInternational Conference on Systems Science$$n(19th :$$d2016 :$$cWrocław, Poland)
000777829 24510 $$aAdvances in systems science :$$bproceedings of the International Conference on Systems Science 2016 (ICSS 2016) /$$cJerzy Świątek, Jakub M. Tomczak, editors.
000777829 2463_ $$aICSS 2016
000777829 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2016].
000777829 264_4 $$c©2017
000777829 300__ $$a1 online resource (xi, 340 pages) :$$billustrations.
000777829 336__ $$atext$$btxt$$2rdacontent
000777829 337__ $$acomputer$$bc$$2rdamedia
000777829 338__ $$aonline resource$$bcr$$2rdacarrier
000777829 4901_ $$aAdvances in intelligent systems and computing,$$x2194-5357 ;$$vvolume 539
000777829 500__ $$aIncludes author index.
000777829 5050_ $$aPreface; Contents; Applications of Machine Learning; Maximum Likelihood Estimation and Optimal Coordinates; 1 Introduction; 2 Entropy and Gaussian Random Variables; 3 Rescaling; 4 Main Result; 5 Conclusion; References; Domain Adaptation for Image Analysis: An Unsupervised Approach Using Boltzmann Machines Trained by Perturbation; 1 Introduction; 2 Unsupervised Domain Adaptation Problem; 3 Boltzmann Machines; 4 Perturb-and-MAP Learning Algorithm; 5 Experiments; 6 Discussion and Conclusion; References; Relation Recognition Problems and Algebraic Approach to Their Solution; Abstract
000777829 5058_ $$a1 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
000777829 5058_ $$aAcknowledgementsReferences; Estimating Cluster Population; Abstract; 1 Introduction; 2 Review of Existing Approaches; 3 Estimation of Cluster Population; 3.1 Preliminaries; 3.2 Adaptive Bucketing; 3.3 Aggregating Bucket Clusters; 3.4 Nudging; 4 Results and Discussion; References; Evaluation of Particle Swarm Optimisation for Medical Image Segmentation; 1 Introduction; 2 Overview of PSO-Based Algorithms; 2.1 Particle Swarm Optimisation (PSO); 2.2 Darwinian Particle Swarm Optimisation (DPSO); 2.3 Fractional Order Darwinian Particle Swarm Optimisation (FODPSO); 3 Experimental Work
000777829 5058_ $$a3.1 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
000777829 5058_ $$a3.2 Building Frequent N-grams3.3 Finding Significant Edges; 3.4 Topic Modeling; 4 Experiment Results and Discussion; 5 Concluding Remarks and Future Research; References; Gaussian Process Regression with Categorical Inputs for Predicting the Blood Glucose Level; 1 Introduction; 2 Methodology; 2.1 Gaussian Process Regression Model; 2.2 Prediction; 2.3 Learning; 3 Experiment; 3.1 Data Description; 3.2 Experiment Details; 3.3 Results and Discussion; 4 Conclusion; References; Automated Information Extraction and Classification of Matrix-Based Questionnaire Data; 1 Introduction
000777829 506__ $$aAccess limited to authorized users.
000777829 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 16, 2016).
000777829 650_0 $$aSystems engineering$$vCongresses.
000777829 650_0 $$aSystem theory$$vCongresses.
000777829 650_0 $$aControl theory$$vCongresses.
000777829 650_0 $$aMachine learning$$vCongresses.
000777829 7001_ $$aŚwiątek, Jerzy,$$eeditor.
000777829 7001_ $$aTomczak, Jakub M.$$eeditor.
000777829 830_0 $$aAdvances in intelligent systems and computing ;$$vv. 539.
000777829 852__ $$bebk
000777829 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-48944-5$$zOnline Access$$91397441.1
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