A Combined Latent Class And Trait Model For The Analysis And Visualization Of Discrete Data
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A Combined Latent Class And Trait Model For The Analysis And Visualization Of Discrete Data
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Author : Ata Kabán
language : en
Publisher:
Release Date : 2000
A Combined Latent Class And Trait Model For The Analysis And Visualization Of Discrete Data written by Ata Kabán and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Latent structure analysis categories.
Latent Class And Discrete Latent Trait Models
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Author : Ton Heinen
language : en
Publisher: SAGE Publications, Incorporated
Release Date : 1996-04-24
Latent Class And Discrete Latent Trait Models written by Ton Heinen and has been published by SAGE Publications, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-04-24 with Mathematics categories.
In addition, he reviews log-linear models, latent trait models, and a number of restricted latent class models in detail as well as for the estimation of parameters for these models.
Similarity Based Clustering
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Author : Thomas Villmann
language : en
Publisher: Springer
Release Date : 2009-05-14
Similarity Based Clustering written by Thomas Villmann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-14 with Science categories.
Similarity-based learning methods have a great potential as an intuitive and ?exible toolbox for mining, visualization,and inspection of largedata sets. They combine simple and human-understandable principles, such as distance-based classi?cation, prototypes, or Hebbian learning, with a large variety of di?erent, problem-adapted design choices, such as a data-optimum topology, similarity measure, or learning mode. In medicine, biology, and medical bioinformatics, more and more data arise from clinical measurements such as EEG or fMRI studies for monitoring brain activity, mass spectrometry data for the detection of proteins, peptides and composites, or microarray pro?les for the analysis of gene expressions. Typically, data are high-dimensional, noisy, and very hard to inspect using classic (e. g. , symbolic or linear) methods. At the same time, new technologies ranging from the possibility of a very high resolution of spectra to high-throughput screening for microarray data are rapidly developing and carry thepromiseofane?cient,cheap,andautomaticgatheringoftonsofhigh-quality data with large information potential. Thus, there is a need for appropriate - chine learning methods which help to automatically extract and interpret the relevant parts of this information and which, eventually, help to enable und- standingofbiologicalsystems,reliablediagnosisoffaults,andtherapyofdiseases such as cancer based on this information. Moreover, these application scenarios pose fundamental and qualitatively new challenges to the learning systems - cause of the speci?cs of the data and learning tasks. Since these characteristics are particularly pronounced within the medical domain, but not limited to it and of principled interest, this research topic opens the way toward important new directions of algorithmic design and accompanying theory.
Latent Trait And Latent Class Models
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Author : R. Langeheine
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Latent Trait And Latent Class Models written by R. Langeheine and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Psychology categories.
This volume is based on an international conference held at the Institute for Science Education (IPN) in Kiel in August 1985. The IPN is a national research institute for science education of the Federal Republic of Germany associated with the University of Kiel. The aim of this conference-to treat latent trait and latent class models under comparative points of view as well as under application aspects-was realized in many stimulating contributions and very different ways. We asked the authors of these papers to work out their contributions for publication here, not only because many of the papers present new material, but also because the time is ripe for a comprehen sive volume, working up the widespread literature of the past ten years in this field. We have tried to compile a volume that will be of interest to statistically oriented researchers in a variety of disciplines, including psychology, sociology, education, political science, epidemiology, and the like. Although the chapters assume a reasonably high level of methodo logical sophistication, we hope that the book will find its way into advanced courses in the above fields. We are grateful to the IPN for organizing the conference, to our contributors for their untiring efforts in revising their chapters for publication, and to the staff of Plenum Publishing Corporation for helping to make this book a reality.
Artificial Neural Networks In Pattern Recognition
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Author : Lionel Prevost
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-06-25
Artificial Neural Networks In Pattern Recognition written by Lionel Prevost and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-25 with Business & Economics categories.
This book constitutes the refereed proceedings of the Third TC3 IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2008, held in Paris, France, in July 2008. The 18 revised full papers and 11 revised poster papers presented were carefully reviewed and selected from 57 submissions. The papers combine many ideas from machine learning, advanced statistics, signal and image processing for solving complex real-world pattern recognition problems. The papers are organized in topical sections on unsupervised learning, supervised learning, multiple classifiers, applications, and feature selection.
Intelligent Data Engineering And Automated Learning Ideal 2002
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Author : Hujun Yin
language : en
Publisher: Springer
Release Date : 2003-08-02
Intelligent Data Engineering And Automated Learning Ideal 2002 written by Hujun Yin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-02 with Computers categories.
This book constitutes the refereed proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2002, held in Manchester, UK in August 2002. The 89 revised papers presented were carefully reviewed and selected from more than 150 submissions. The book offers topical sections on data mining, knowledge engineering, text and document processing, internet applications, agent technology, autonomous mining, financial engineering, bioinformatics, learning systems, and pattern recognition.
Applied Latent Class Analysis
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Author : Jacques A. Hagenaars
language : en
Publisher: Cambridge University Press
Release Date : 2002-06-24
Applied Latent Class Analysis written by Jacques A. Hagenaars and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-06-24 with Social Science categories.
Applied Latent Class Analysis introduces several innovations in latent class analysis to a wider audience of researchers. Many of the world's leading innovators in the field of latent class analysis contributed essays to this volume, each presenting a key innovation to the basic latent class model and illustrating how it can prove useful in situations typically encountered in actual research.
An Introduction To Latent Class Analysis
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Author : Nobuoki Eshima
language : en
Publisher: Springer Nature
Release Date : 2022-04-09
An Introduction To Latent Class Analysis written by Nobuoki Eshima and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-09 with Business & Economics categories.
This book provides methods and applications of latent class analysis, and the following topics are taken up in the focus of discussion: basic latent structure models in a framework of generalized linear models, exploratory latent class analysis, latent class analysis with ordered latent classes, a latent class model approach for analyzing learning structures, the latent Markov analysis for longitudinal data, and path analysis with latent class models. The maximum likelihood estimation procedures for latent class models are constructed via the expectation–maximization (EM) algorithm, and along with it, latent profile and latent trait models are also treated. Entropy-based discussions for latent class models are given as advanced approaches, for example, comparison of latent classes in a latent class cluster model, assessing latent class models, path analysis, and so on. In observing human behaviors and responses to various stimuli and test items, it is valid to assume they are dominated by certain factors. This book plays a significant role in introducing latent structure analysis to not only young researchers and students studying behavioral sciences, but also to those investigating other fields of scientific research.
Latent Class Scaling Analysis
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Author : C. Mitchell Dayton
language : en
Publisher: SAGE
Release Date : 1998
Latent Class Scaling Analysis written by C. Mitchell Dayton and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Medical categories.
The author presents an accessible guide to latent class scaling models for binary response variables. Covered in the book are: a survey on academic cheating; children's mastery of spatial tasks; medical diagnosis of lung disease.
British National Bibliography For Report Literature
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Author :
language : en
Publisher:
Release Date : 2000
British National Bibliography For Report Literature written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Dissertations, Academic categories.