Algorithms And Programs Of Dynamic Mixture Estimation

Download Algorithms And Programs Of Dynamic Mixture Estimation full books in PDF, epub, and Kindle. Read online Algorithms And Programs Of Dynamic Mixture Estimation ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Algorithms and Programs of Dynamic Mixture Estimation

Author : Ivan Nagy
Publisher : Springer
ISBN 13 : 3319646710
Total Pages : 118 pages
Book Rating : 4.3/5 (196 download)

DOWNLOAD NOW!

Book Synopsis Algorithms and Programs of Dynamic Mixture Estimation by : Ivan Nagy

Download or read book Algorithms and Programs of Dynamic Mixture Estimation written by Ivan Nagy and published by Springer. This book was released on 2017-08-14 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a general theoretical background for constructing the recursive Bayesian estimation algorithms for mixture models. It collects the recursive algorithms for estimating dynamic mixtures of various distributions and brings them in the unified form, providing a scheme for constructing the estimation algorithm for a mixture of components modeled by distributions with reproducible statistics. It offers the recursive estimation of dynamic mixtures, which are free of iterative processes and close to analytical solutions as much as possible. In addition, these methods can be used online and simultaneously perform learning, which improves their efficiency during estimation. The book includes detailed program codes for solving the presented theoretical tasks. Codes are implemented in the open source platform for engineering computations. The program codes given serve to illustrate the theory and demonstrate the work of the included algorithms.

Informatics in Control, Automation and Robotics

Author : Oleg Gusikhin
Publisher : Springer
ISBN 13 : 3030112926
Total Pages : 812 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Informatics in Control, Automation and Robotics by : Oleg Gusikhin

Download or read book Informatics in Control, Automation and Robotics written by Oleg Gusikhin and published by Springer. This book was released on 2019-04-18 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses the latest endeavours relating researches and developments conducted in fields of Control, Robotics and Automation. Through more than twenty revised and extended articles, the present book aims to provide the most up-to-date state-of-art of the aforementioned fields allowing researcher, PhD students and engineers not only updating their knowledge but also benefiting from the source of inspiration that represents the set of selected articles of the book. The deliberate intention of editors to cover as well theoretical facets of those fields as their practical accomplishments and implementations offers the benefit of gathering in a same volume a factual and well-balanced prospect of nowadays research in those topics. A special attention toward “Intelligent Robots and Control” may characterize another benefit of this book.

Models and Estimation Algorithms for Nonparametric Finite Mixtures with Conditionally Independent Multivariate Component Densities

Download Models and Estimation Algorithms for Nonparametric Finite Mixtures with Conditionally Independent Multivariate Component Densities PDF Online Free

Author : Vy-Thuy-Lynh Hoang
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (12 download)

DOWNLOAD NOW!

Book Synopsis Models and Estimation Algorithms for Nonparametric Finite Mixtures with Conditionally Independent Multivariate Component Densities by : Vy-Thuy-Lynh Hoang

Download or read book Models and Estimation Algorithms for Nonparametric Finite Mixtures with Conditionally Independent Multivariate Component Densities written by Vy-Thuy-Lynh Hoang and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently several authors have proposed models and estimation algorithms for finite nonparametric multivariate mixtures, whose identifiability is typically not obvious. Among the considered models, the assumption of independent coordinates conditional on the subpopulation from which each observation is drawn is subject of an increasing attention, in view of the theoretical and practical developments it allows, particularly with multiplicity of variables coming into play in the modern statistical framework. In this work we first consider a more general model assuming independence, conditional on the component, of multivariate blocks of coordinates instead of univariate coordinates, allowing for any dependence structure within these blocks. Consequently, the density functions of these blocks are completely multivariate and nonparametric. We present identifiability arguments and introduce for estimation in this model two methodological algorithms whose computational procedures resemble a true EM algorithm but include an additional density estimation step: a fast algorithm showing empirical efficiency without theoretical justification, and a smoothed algorithm possessing a monotony property as any EM algorithm does, but more computationally demanding. We also discuss computationally efficient methods for estimation and derive some strategies. Next, we consider a multivariate extension of the mixture models used in the framework of multiple hypothesis testings, allowing for a new multivariate version of the False Discovery Rate control. We propose a constrained version of our previous algorithm, specifically designed for this model. The behavior of the EM-type algorithms we propose is studied numerically through several Monte Carlo experiments and high dimensional real data, and compared with existing methods in the literature. Finally, the codes of our new algorithms are progressively implemented as new functions in the publicly-available package mixtools for the R statistical software.

A Comparison of New and Old Algorithms for a Mixture Estimation Problem

Author :
Publisher :
ISBN 13 :
Total Pages : 26 pages
Book Rating : 4.:/5 (321 download)

DOWNLOAD NOW!

Book Synopsis A Comparison of New and Old Algorithms for a Mixture Estimation Problem by :

Download or read book A Comparison of New and Old Algorithms for a Mixture Estimation Problem written by and published by . This book was released on 1995 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mixtures

Author : Kerrie L. Mengersen
Publisher : John Wiley & Sons
ISBN 13 : 1119998441
Total Pages : 352 pages
Book Rating : 4.1/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Mixtures by : Kerrie L. Mengersen

Download or read book Mixtures written by Kerrie L. Mengersen and published by John Wiley & Sons. This book was released on 2011-05-03 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book uses the EM (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data set. The parameters describe the component distributions of the mixture; the distributions may be continuous or discrete. The editors provide a complete account of the applications, mathematical structure and statistical analysis of finite mixture distributions along with MCMC computational methods, together with a range of detailed discussions covering the applications of the methods and features chapters from the leading experts on the subject. The applications are drawn from scientific discipline, including biostatistics, computer science, ecology and finance. This area of statistics is important to a range of disciplines, and its methodology attracts interest from researchers in the fields in which it can be applied.

Mixtures

Author : Kerrie L. Mengersen
Publisher : Wiley
ISBN 13 : 9781119993896
Total Pages : 0 pages
Book Rating : 4.9/5 (938 download)

DOWNLOAD NOW!

Book Synopsis Mixtures by : Kerrie L. Mengersen

Download or read book Mixtures written by Kerrie L. Mengersen and published by Wiley. This book was released on 2011-06-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book uses the EM (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data set. The parameters describe the component distributions of the mixture; the distributions may be continuous or discrete. The editors provide a complete account of the applications, mathematical structure and statistical analysis of finite mixture distributions along with MCMC computational methods, together with a range of detailed discussions covering the applications of the methods and features chapters from the leading experts on the subject. The applications are drawn from scientific discipline, including biostatistics, computer science, ecology and finance. This area of statistics is important to a range of disciplines, and its methodology attracts interest from researchers in the fields in which it can be applied.

Statistical Theory and Method Abstracts

Author :
Publisher :
ISBN 13 :
Total Pages : 886 pages
Book Rating : 4.:/5 (7 download)

DOWNLOAD NOW!

Book Synopsis Statistical Theory and Method Abstracts by :

Download or read book Statistical Theory and Method Abstracts written by and published by . This book was released on 2000 with total page 886 pages. Available in PDF, EPUB and Kindle. Book excerpt:

New Algorithms for Learning of Mixture Models and Their Application for Classification and Density Estimation

Author : Bambang Heru Iswanto
Publisher : Logos Verlag Berlin
ISBN 13 : 9783832508098
Total Pages : 0 pages
Book Rating : 4.5/5 (8 download)

DOWNLOAD NOW!

Book Synopsis New Algorithms for Learning of Mixture Models and Their Application for Classification and Density Estimation by : Bambang Heru Iswanto

Download or read book New Algorithms for Learning of Mixture Models and Their Application for Classification and Density Estimation written by Bambang Heru Iswanto and published by Logos Verlag Berlin. This book was released on 2005 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mixture model is known as a convenient way for modelling the probability density function in statistics. Recently, the method is adopted by machine learning communities in a variety of application settings such as cluster analysis, classification, density estimation and function approximation. This book concerns with learning algorithms of the mixture models for density estimation and classification tasks. Special attention is given for the semi-supervised learning and active learning methods which are very important in many practical settings. The presented learning methods attempt to reduce the size of labelled data sets required to achieve certain level of classification performance.

Handbook of Dynamic Data Driven Applications Systems

Author : Erik P. Blasch
Publisher : Springer Nature
ISBN 13 : 3030745686
Total Pages : 753 pages
Book Rating : 4.0/5 (37 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Dynamic Data Driven Applications Systems by : Erik P. Blasch

Download or read book Handbook of Dynamic Data Driven Applications Systems written by Erik P. Blasch and published by Springer Nature. This book was released on 2022-05-11 with total page 753 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies. Beginning with general concepts and history of the paradigm, the text provides 32 chapters by leading experts in ten application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal: The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination. The Dynamically Data Driven Applications Systems (DDDAS) paradigm inspired research regarding the prediction of severe storms. Specifically, the DDDAS concept allows atmospheric observing systems, computer forecast models, and cyberinfrastructure to dynamically configure themselves in optimal ways in direct response to current or anticipated weather conditions. In so doing, all resources are used in an optimal manner to maximize the quality and timeliness of information they provide. Kelvin Droegemeier, Regents’ Professor of Meteorology at the University of Oklahoma; former Director of the White House Office of Science and Technology Policy We may well be entering the golden age of data science, as society in general has come to appreciate the possibilities for organizational strategies that harness massive streams of data. The challenges and opportunities are even greater when the data or the underlying system are dynamic - and DDDAS is the time-tested paradigm for realizing this potential. Sangtae Kim, Distinguished Professor of Mechanical Engineering and Distinguished Professor of Chemical Engineering at Purdue University

Handbook of Dynamic Data Driven Applications Systems

Author : Erik Blasch
Publisher : Springer
ISBN 13 : 3319955047
Total Pages : 734 pages
Book Rating : 4.3/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Dynamic Data Driven Applications Systems by : Erik Blasch

Download or read book Handbook of Dynamic Data Driven Applications Systems written by Erik Blasch and published by Springer. This book was released on 2018-11-13 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies. Beginning with general concepts and history of the paradigm, the text provides 32 chapters by leading experts in10 application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal: Earth and Space Data Assimilation Aircraft Systems Processing Structures Health Monitoring Biological Data Assessment Object and Activity Tracking Embedded Control and Coordination Energy-Aware Optimization Image and Video Computing Security and Policy Coding Systems Design The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination.

Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications

Author : Huber, Marco
Publisher : KIT Scientific Publishing
ISBN 13 : 3731503387
Total Pages : 302 pages
Book Rating : 4.7/5 (315 download)

DOWNLOAD NOW!

Book Synopsis Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications by : Huber, Marco

Download or read book Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications written by Huber, Marco and published by KIT Scientific Publishing. This book was released on 2015-03-11 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: By restricting to Gaussian distributions, the optimal Bayesian filtering problem can be transformed into an algebraically simple form, which allows for computationally efficient algorithms. Three problem settings are discussed in this thesis: (1) filtering with Gaussians only, (2) Gaussian mixture filtering for strong nonlinearities, (3) Gaussian process filtering for purely data-driven scenarios. For each setting, efficient algorithms are derived and applied to real-world problems.

Database and Expert Systems Applications

Author : Qiming Chen
Publisher : Springer
ISBN 13 : 3319228528
Total Pages : 542 pages
Book Rating : 4.3/5 (192 download)

DOWNLOAD NOW!

Book Synopsis Database and Expert Systems Applications by : Qiming Chen

Download or read book Database and Expert Systems Applications written by Qiming Chen and published by Springer. This book was released on 2015-08-10 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set LNCS 9261 and LNCS 9262 constitutes the refereed proceedings of the 26th International Conference on Database and Expert Systems Applications, DEXA 2015, held in Valencia, Spain, September 1-4, 2015. The 40 revised full papers presented together with 32 short papers, and 2 keynote talks, were carefully reviewed and selected from 125 submissions. The papers discuss a range of topics including: temporal, spatial and high dimensional databases; semantic Web and ontologies; modeling, linked open data; NoSQLm NewSQL, data integration; uncertain data and inconsistency tolerance; database system architecture; data mining, query processing and optimization; indexing and decision support systems; modeling, extraction, social networks; knowledge management and consistency; mobility, privacy and security; data streams, Web services; distributed, parallel and cloud databases; information retrieval; XML and semi-structured data; data partitioning, indexing; data mining, applications; WWW and databases; data management algorithms. These volumes also include accepted papers of the 8th International Conference on Data Management in Cloud, Grid and P2P Systems, Globe 2015, held in Valencia, Spain, September 2, 2015. The 8 full papers presented were carefully reviewed and selected from 13 submissions. The papers discuss a range of topics including: MapReduce framework: load balancing, optimization and classification; security, data privacy and consistency; query rewriting and streaming.

Big Data Computing and Communications

Author : Yu Wang
Publisher : Springer
ISBN 13 : 3319220470
Total Pages : 517 pages
Book Rating : 4.3/5 (192 download)

DOWNLOAD NOW!

Book Synopsis Big Data Computing and Communications by : Yu Wang

Download or read book Big Data Computing and Communications written by Yu Wang and published by Springer. This book was released on 2015-07-23 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the First International Conference on Big Data Computing and Communications, BigCom 2015, held in Taiyuan, China, in August 2015. The 41 papers presented in this volume were carefully reviewed and selected from 74 submissions. They were organized in topical sections named: wireless communication and networks; database and big data; smart phone and sensing application; security and privacy; architecture and applications; sensor networks and RFID; social networks and recommendation; signal processing and pattern recognition; and routing and resource management.

Combined Algorithms for Constrained Estimation of Finite Mixture Distributions with Grouped Data and Conditional Data

Author : Juan Du
Publisher :
ISBN 13 :
Total Pages : 248 pages
Book Rating : 4.:/5 (754 download)

DOWNLOAD NOW!

Book Synopsis Combined Algorithms for Constrained Estimation of Finite Mixture Distributions with Grouped Data and Conditional Data by : Juan Du

Download or read book Combined Algorithms for Constrained Estimation of Finite Mixture Distributions with Grouped Data and Conditional Data written by Juan Du and published by . This book was released on 2002 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Learning Dynamic Systems for Intention Recognition in Human-Robot-Cooperation

Author : Peter Krauthausen
Publisher : KIT Scientific Publishing
ISBN 13 : 3866449526
Total Pages : 240 pages
Book Rating : 4.8/5 (664 download)

DOWNLOAD NOW!

Book Synopsis Learning Dynamic Systems for Intention Recognition in Human-Robot-Cooperation by : Peter Krauthausen

Download or read book Learning Dynamic Systems for Intention Recognition in Human-Robot-Cooperation written by Peter Krauthausen and published by KIT Scientific Publishing. This book was released on 2014-07-31 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis is concerned with intention recognition for a humanoid robot and investigates how the challenges of uncertain and incomplete observations, a high degree of detail of the used models, and real-time inference may be addressed by modeling the human rationale as hybrid, dynamic Bayesian networks and performing inference with these models. The key focus lies on the automatic identification of the employed nonlinear stochastic dependencies and the situation-specific inference.

A Recursive Estimation Algorithm for Identification of Dynamic Systems

Author : Toney R. Perkins
Publisher :
ISBN 13 :
Total Pages : 68 pages
Book Rating : 4.:/5 (227 download)

DOWNLOAD NOW!

Book Synopsis A Recursive Estimation Algorithm for Identification of Dynamic Systems by : Toney R. Perkins

Download or read book A Recursive Estimation Algorithm for Identification of Dynamic Systems written by Toney R. Perkins and published by . This book was released on 1974 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: The report deals with the identification of unknown parameters in dynamic systems. In modeling a physical system, the problem of identifying the dynamics of a system are often encountered. The developed algorithm provides a tool to model all or parts of a dynamic system using input-output data sets from a real system. The methodology and techniques of this algorithm are based upon linear recursive estimation theory. The theoretical foundation and the pragmatics of using the ensemble data to estimate the unknown parameters are discussed at length in the development of the algorithm. As an application of the algorithm, experimental data from a man-in-the-loop simulation is used to estimate the parameters of a single axis model of the gunner. The tracking response of the gunner model compare favorably with data obtained from the simulation. (Modified author abstract).

Comprehensive Biomedical Physics

Author :
Publisher : Newnes
ISBN 13 : 0444536337
Total Pages : 4052 pages
Book Rating : 4.4/5 (445 download)

DOWNLOAD NOW!

Book Synopsis Comprehensive Biomedical Physics by :

Download or read book Comprehensive Biomedical Physics written by and published by Newnes. This book was released on 2014-07-25 with total page 4052 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive Biomedical Physics, Ten Volume Set is a new reference work that provides the first point of entry to the literature for all scientists interested in biomedical physics. It is of particularly use for graduate and postgraduate students in the areas of medical biophysics. This Work is indispensable to all serious readers in this interdisciplinary area where physics is applied in medicine and biology. Written by leading scientists who have evaluated and summarized the most important methods, principles, technologies and data within the field, Comprehensive Biomedical Physics is a vital addition to the reference libraries of those working within the areas of medical imaging, radiation sources, detectors, biology, safety and therapy, physiology, and pharmacology as well as in the treatment of different clinical conditions and bioinformatics. This Work will be valuable to students working in all aspect of medical biophysics, including medical imaging and biomedical radiation science and therapy, physiology, pharmacology and treatment of clinical conditions and bioinformatics. The most comprehensive work on biomedical physics ever published Covers one of the fastest growing areas in the physical sciences, including interdisciplinary areas ranging from advanced nuclear physics and quantum mechanics through mathematics to molecular biology and medicine Contains 1800 illustrations, all in full color