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An Investigation of the Performance of Robust Regression Algorithms

An Investigation of the Performance of Robust Regression Algorithms PDF Author: M. Agelia Ypelaar
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 360

Book Description


An Investigation of the Performance of Robust Regression Algorithms

An Investigation of the Performance of Robust Regression Algorithms PDF Author: M. Agelia Ypelaar
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 360

Book Description


Distributionally Robust Learning

Distributionally Robust Learning PDF Author: Ruidi Chen
Publisher:
ISBN: 9781680837728
Category : Mathematics
Languages : en
Pages : 258

Book Description


Robust Statistical Procedures

Robust Statistical Procedures PDF Author: Peter J. Huber
Publisher: SIAM
ISBN: 9781611970036
Category : Mathematics
Languages : en
Pages : 77

Book Description
Here is a brief, well-organized, and easy-to-follow introduction and overview of robust statistics. Huber focuses primarily on the important and clearly understood case of distribution robustness, where the shape of the true underlying distribution deviates slightly from the assumed model (usually the Gaussian law). An additional chapter on recent developments in robustness has been added and the reference list has been expanded and updated from the 1977 edition.

Studies in Pattern Recognition

Studies in Pattern Recognition PDF Author: Herbert Freeman
Publisher: World Scientific
ISBN: 9789812797728
Category : Image processing
Languages : en
Pages : 252

Book Description
More than ten years have passed since the untimely death of King-Sun Fu, one of the great pioneers in the field of pattern recognition. It was he, more than any other single individual, who nurtured the field during its formative years, and set the tone and tempo for others to follow. This book is dedicated to his memory. This book contains 11 chapters by authors who knew King-Sun Fu and in varying degrees interacted with him. The articles span the field of pattern recognition in its current state, and cover such diverse topics as neural nets, covariance propagation, genetic selection, shape description, characteristic views for 3D modeling, face recognition, speech recognition, and machine translation. In tone they vary from the highly theoretical to the applied. Their presentation here is a testimonial, by his former colleagues and friends, to the pioneer who did so much to bring pattern recognition to its position as a recognized discipline world-wide.

Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 1572

Book Description


Knowledge-Based and Intelligent Information and Engineering Systems

Knowledge-Based and Intelligent Information and Engineering Systems PDF Author: Rossitza Setchi
Publisher: Springer
ISBN: 3642153879
Category : Computers
Languages : en
Pages : 719

Book Description
th The 14 International Conference on Knowledge-Based and Intelligent Information and Engineering Systems was held during September 8–10, 2010 in Cardiff, UK. The conference was organized by the School of Engineering at Cardiff University, UK and KES International. KES2010 provided an international scientific forum for the presentation of the - sults of high-quality research on a broad range of intelligent systems topics. The c- ference attracted over 360 submissions from 42 countries and 6 continents: Argentina, Australia, Belgium, Brazil, Bulgaria, Canada, Chile, China, Croatia, Czech Republic, Denmark, Finland, France, Germany, Greece, Hong Kong ROC, Hungary, India, Iran, Ireland, Israel, Italy, Japan, Korea, Malaysia, Mexico, The Netherlands, New Zealand, Pakistan, Poland, Romania, Singapore, Slovenia, Spain, Sweden, Syria, Taiwan, - nisia, Turkey, UK, USA and Vietnam. The conference consisted of 6 keynote talks, 11 general tracks and 29 invited s- sions and workshops, on the applications and theory of intelligent systems and related areas. The distinguished keynote speakers were Christopher Bishop, UK, Nikola - sabov, New Zealand, Saeid Nahavandi, Australia, Tetsuo Sawaragi, Japan, Yuzuru Tanaka, Japan and Roger Whitaker, UK. Over 240 oral and poster presentations provided excellent opportunities for the presentation of interesting new research results and discussion about them, leading to knowledge transfer and generation of new ideas. Extended versions of selected papers were considered for publication in the Int- national Journal of Knowledge-Based and Intelligent Engineering Systems, Engine- ing Applications of Artificial Intelligence, Journal of Intelligent Manufacturing, and Neural Computing and Applications.

Robust Regression and Outlier Detection

Robust Regression and Outlier Detection PDF Author: Peter J. Rousseeuw
Publisher: John Wiley & Sons
ISBN: 0471725374
Category : Mathematics
Languages : en
Pages : 329

Book Description
WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selectedbooks that have been made more accessible to consumers in an effortto increase global appeal and general circulation. With these newunabridged softcover volumes, Wiley hopes to extend the lives ofthese works by making them available to future generations ofstatisticians, mathematicians, and scientists. "The writing style is clear and informal, and much of thediscussion is oriented to application. In short, the book is akeeper." –Mathematical Geology "I would highly recommend the addition of this book to thelibraries of both students and professionals. It is a usefultextbook for the graduate student, because it emphasizes both thephilosophy and practice of robustness in regression settings, andit provides excellent examples of precise, logical proofs oftheorems. . . .Even for those who are familiar with robustness, thebook will be a good reference because it consolidates the researchin high-breakdown affine equivariant estimators and includes anextensive bibliography in robust regression, outlier diagnostics,and related methods. The aim of this book, the authors tell us, is‘to make robust regression available for everyday statisticalpractice.’ Rousseeuw and Leroy have included all of thenecessary ingredients to make this happen." –Journal of the American Statistical Association

Advances In Robotics: The Ernet Perspective - Proceedings Of The Research Workshop Of Ernet - European Robotics Network

Advances In Robotics: The Ernet Perspective - Proceedings Of The Research Workshop Of Ernet - European Robotics Network PDF Author: Henning Tolle
Publisher: World Scientific
ISBN: 9814547522
Category :
Languages : en
Pages : 307

Book Description
This volume contains the research papers for the final Workshop of European Robotics Network (ERNET). ERNET is a research network created since 1993 in the framework of the Human and Capital Mobility Programme and supported by the Commission of European Communities with the focus on methodologies and applications in the area of Robotics. The participation of a large number of leading laboratories belonging to 10 European countries allowed the development of a significant number of joint research projects and a strong qualification of their goals and results. In this respect, this book is unique since it offers to the interested reader, both in academy and industry, the opportunity to enter the current major research streams in Europe referring to an exciting interdisciplinary area such as Robotics.

Bridge Maintenance, Safety, Management, Resilience and Sustainability

Bridge Maintenance, Safety, Management, Resilience and Sustainability PDF Author: Fabio Biondini
Publisher: CRC Press
ISBN: 0203103386
Category : Technology & Engineering
Languages : en
Pages : 4119

Book Description
Bridge Maintenance, Safety, Management, Resilience and Sustainability contains the lectures and papers presented at The Sixth International Conference on Bridge Maintenance, Safety and Management (IABMAS 2012), held in Stresa, Lake Maggiore, Italy, 8-12 July, 2012. This volume consists of a book of extended abstracts (800 pp) Extensive collection of revised expert papers on recent advances in bridge maintenance, safety, management and life-cycle performance, representing a major contribution to the knowledge base of all areas of the field.

Introduction to Linear Regression Analysis

Introduction to Linear Regression Analysis PDF Author: Douglas C. Montgomery
Publisher: John Wiley & Sons
ISBN: 1119180171
Category : Mathematics
Languages : en
Pages : 679

Book Description
Praise for the Fourth Edition "As with previous editions, the authors have produced a leading textbook on regression." —Journal of the American Statistical Association A comprehensive and up-to-date introduction to the fundamentals of regression analysis Introduction to Linear Regression Analysis, Fifth Edition continues to present both the conventional and less common uses of linear regression in today’s cutting-edge scientific research. The authors blend both theory and application to equip readers with an understanding of the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences. Following a general introduction to regression modeling, including typical applications, a host of technical tools are outlined such as basic inference procedures, introductory aspects of model adequacy checking, and polynomial regression models and their variations. The book then discusses how transformations and weighted least squares can be used to resolve problems of model inadequacy and also how to deal with influential observations. The Fifth Edition features numerous newly added topics, including: A chapter on regression analysis of time series data that presents the Durbin-Watson test and other techniques for detecting autocorrelation as well as parameter estimation in time series regression models Regression models with random effects in addition to a discussion on subsampling and the importance of the mixed model Tests on individual regression coefficients and subsets of coefficients Examples of current uses of simple linear regression models and the use of multiple regression models for understanding patient satisfaction data. In addition to Minitab, SAS, and S-PLUS, the authors have incorporated JMP and the freely available R software to illustrate the discussed techniques and procedures in this new edition. Numerous exercises have been added throughout, allowing readers to test their understanding of the material. Introduction to Linear Regression Analysis, Fifth Edition is an excellent book for statistics and engineering courses on regression at the upper-undergraduate and graduate levels. The book also serves as a valuable, robust resource for professionals in the fields of engineering, life and biological sciences, and the social sciences.