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Model Selection And Error Estimation In A Nutshell
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Book Synopsis Model Selection and Error Estimation in a Nutshell by : Luca Oneto
Download or read book Model Selection and Error Estimation in a Nutshell written by Luca Oneto and published by Springer. This book was released on 2019-07-17 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can we select the best performing data-driven model? How can we rigorously estimate its generalization error? Statistical learning theory answers these questions by deriving non-asymptotic bounds on the generalization error of a model or, in other words, by upper bounding the true error of the learned model based just on quantities computed on the available data. However, for a long time, Statistical learning theory has been considered only an abstract theoretical framework, useful for inspiring new learning approaches, but with limited applicability to practical problems. The purpose of this book is to give an intelligible overview of the problems of model selection and error estimation, by focusing on the ideas behind the different statistical learning theory approaches and simplifying most of the technical aspects with the purpose of making them more accessible and usable in practice. The book starts by presenting the seminal works of the 80’s and includes the most recent results. It discusses open problems and outlines future directions for research.
Book Synopsis Model Selection and Error Estimation by : Peter Bartlett
Download or read book Model Selection and Error Estimation written by Peter Bartlett and published by . This book was released on 2000 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Error Estimation and Model Selection by : Tobias Scheffer
Download or read book Error Estimation and Model Selection written by Tobias Scheffer and published by . This book was released on 1999 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Building Regression Models with SAS by : Robert N. Rodriguez
Download or read book Building Regression Models with SAS written by Robert N. Rodriguez and published by SAS Institute. This book was released on 2023-04-18 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advance your skills in building predictive models with SAS! Building Regression Models with SAS: A Guide for Data Scientists teaches data scientists, statisticians, and other analysts who use SAS to train regression models for prediction with large, complex data. Each chapter focuses on a particular model and includes a high-level overview, followed by basic concepts, essential syntax, and examples using new procedures in both SAS/STAT and SAS Viya. By emphasizing introductory examples and interpretation of output, this book provides readers with a clear understanding of how to build the following types of models: general linear models quantile regression models logistic regression models generalized linear models generalized additive models proportional hazards regression models tree models models based on multivariate adaptive regression splines Building Regression Models with SAS is an essential guide to learning about a variety of models that provide interpretability as well as predictive performance.
Book Synopsis Support Vector Machines: Theory and Applications by : Lipo Wang
Download or read book Support Vector Machines: Theory and Applications written by Lipo Wang and published by Springer Science & Business Media. This book was released on 2005-06-21 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This carefully edited volume presents the state of the art of the mathematical foundation of SVM in statistical learning theory, as well as novel algorithms and applications. Support Vector Machines provides a selection of numerous real-world applications, such as bioinformatics, text categorization, pattern recognition, and object detection, written by leading experts in their respective fields.
Book Synopsis Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005 by : Wlodzislaw Duch
Download or read book Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005 written by Wlodzislaw Duch and published by Springer. This book was released on 2005-08-25 with total page 1051 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the first part of the two-volume proceedings of the International C- ference on Artificial Neural Networks (ICANN 2005), held on September 11–15, 2005 in Warsaw, Poland, with several accompanying workshops held on September 15, 2005 at the Nicolaus Copernicus University, Toru , Poland. The ICANN conference is an annual meeting organized by the European Neural Network Society in cooperation with the International Neural Network Society, the Japanese Neural Network Society, and the IEEE Computational Intelligence Society. It is the premier European event covering all topics concerned with neural networks and related areas. The ICANN series of conferences was initiated in 1991 and soon became the major European gathering for experts in those fields. In 2005 the ICANN conference was organized by the Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, and the Nicolaus Copernicus Univ- sity, Toru , Poland. From over 600 papers submitted to the regular sessions and some 10 special c- ference sessions, the International Program Committee selected – after a thorough peer-review process – about 270 papers for publication. The large number of papers accepted is certainly a proof of the vitality and attractiveness of the field of artificial neural networks, but it also shows a strong interest in the ICANN conferences.
Book Synopsis Statistical and Neural Classifiers by : Sarunas Raudys
Download or read book Statistical and Neural Classifiers written by Sarunas Raudys and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: The classification of patterns is an important area of research which is central to all pattern recognition fields, including speech, image, robotics, and data analysis. Neural networks have been used successfully in a number of these fields, but so far their application has been based on a 'black box approach' with no real understanding of how they work. In this book, Sarunas Raudys - an internationally respected researcher in the area - provides an excellent mathematical and applied introduction to how neural network classifiers work and how they should be used.. .
Book Synopsis Artificial Intelligence and Machine Learning in Health Care and Medical Sciences by : Gyorgy J. Simon
Download or read book Artificial Intelligence and Machine Learning in Health Care and Medical Sciences written by Gyorgy J. Simon and published by Springer Nature. This book was released on with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Personalized and Precision Medicine Informatics by : Terrence Adam
Download or read book Personalized and Precision Medicine Informatics written by Terrence Adam and published by Springer Nature. This book was released on 2019-09-17 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book adopts an integrated and workflow-based treatment of the field of personalized and precision medicine (PPM). Outlined within are established, proven and mature workflows as well as emerging and highly-promising opportunities for development. Each workflow is reviewed in terms of its operation and how they are enabled by a multitude of informatics methods and infrastructures. The book goes on to describe which parts are crucial to discovery and which are essential to delivery and how each of these interface and feed into one-another. Personalized and Precision Medicine Informatics provides a comprehensive review of the integrative as well as interpretive nature of the topic and brings together a large body of literature to define the topic and ensure that this is the key reference for the topic. It is an unique contribution that is positioned to be an essential guide for both PPM experts and non-experts, and for both informatics and non-informatics professionals.
Book Synopsis Quantum Inspired Computational Intelligence by : Siddhartha Bhattacharyya
Download or read book Quantum Inspired Computational Intelligence written by Siddhartha Bhattacharyya and published by Morgan Kaufmann. This book was released on 2016-09-20 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum Inspired Computational Intelligence: Research and Applications explores the latest quantum computational intelligence approaches, initiatives, and applications in computing, engineering, science, and business. The book explores this emerging field of research that applies principles of quantum mechanics to develop more efficient and robust intelligent systems. Conventional computational intelligence—or soft computing—is conjoined with quantum computing to achieve this objective. The models covered can be applied to any endeavor which handles complex and meaningful information. Brings together quantum computing with computational intelligence to achieve enhanced performance and robust solutions Includes numerous case studies, tools, and technologies to apply the concepts to real world practice Provides the missing link between the research and practice
Book Synopsis Microbial Source Tracking: Methods, Applications, and Case Studies by : Charles Hagedorn
Download or read book Microbial Source Tracking: Methods, Applications, and Case Studies written by Charles Hagedorn and published by Springer Science & Business Media. This book was released on 2011-06-08 with total page 645 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the origin of fecal pollution is essential in assessing potential health risks as well as for determining the actions necessary to remediate the quality of waters contaminated by fecal matter. As a result, microbial source tracking (MST) has emerged as a field that has evolved and diversified rapidly since the first approaches were described only a decade ago. In response to the emergence of MST, there have been three large multi-laboratory method comparison studies (two in the US and one in Europe), plus numerous workshops, book chapters, and review articles dedicated to synthesizing information on the topic. Furthermore, a federal (USEPA) guide document describing the uses and limitations of MST methods was published in 2005, and a book dedicated to MST as an emerging issue in food safety was published in 2007. These documents provide a collective body of literature on MST that is both conflicting and complementary, often repetitious, and difficult to condense and interpret. In addition, it does not reflect the current diversity of MST approaches with different organisms, newer methodologies such as quantitative PCR, and anthropogenic chemicals, nor does it embrace the scope of MST research being conducted around the world. The three editors of the book, all with extensive MST expertise, have developed chapters and invited authors who reflect the rich diversity and truly international scope of MST. The unifying theme throughout the book is the design of more standardized approaches to MST that include performance criteria (regardless of method or organism), plus recommendations for field study design and MST implementation. The editors intend that this book will serve as a valuable reference for all those who are involved with
Book Synopsis Artificial Intelligence: Methods and Applications by : Aristidis Likas
Download or read book Artificial Intelligence: Methods and Applications written by Aristidis Likas and published by Springer. This book was released on 2014-04-18 with total page 657 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 8th Hellenic Conference on Artificial Intelligence, SETN 2014, held in Ioannina, Greece, in May 2014. There are 34 regular papers out of 60 submissions, in addition 5 submissions were accepted as short papers and 15 papers were accepted for four special sessions. They deal with emergent topics of artificial intelligence and come from the SETN main conference as well as from the following special sessions on action languages: theory and practice; computational intelligence techniques for bio signal Analysis and evaluation; game artificial intelligence; multimodal recommendation systems and their applications to tourism.
Book Synopsis Genomic Signal Processing by : Ilya Shmulevich
Download or read book Genomic Signal Processing written by Ilya Shmulevich and published by Princeton University Press. This book was released on 2007-07-22 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genomic signal processing (GSP) can be defined as the analysis, processing, and use of genomic signals to gain biological knowledge, and the translation of that knowledge into systems-based applications that can be used to diagnose and treat genetic diseases. Situated at the crossroads of engineering, biology, mathematics, statistics, and computer science, GSP requires the development of both nonlinear dynamical models that adequately represent genomic regulation, and diagnostic and therapeutic tools based on these models. This book facilitates these developments by providing rigorous mathematical definitions and propositions for the main elements of GSP and by paying attention to the validity of models relative to the data. Ilya Shmulevich and Edward Dougherty cover real-world situations and explain their mathematical modeling in relation to systems biology and systems medicine. Genomic Signal Processing makes a major contribution to computational biology, systems biology, and translational genomics by providing a self-contained explanation of the fundamental mathematical issues facing researchers in four areas: classification, clustering, network modeling, and network intervention.
Book Synopsis Active Evaluation of Predictive Models by : Christoph Sawade
Download or read book Active Evaluation of Predictive Models written by Christoph Sawade and published by Universitätsverlag Potsdam. This book was released on 2013 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Neural Nets WIRN VIETRI-97 by : Maria Marinaro
Download or read book Neural Nets WIRN VIETRI-97 written by Maria Marinaro and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains selected papers from WIRN VIETRI-97, the 9th Italian Workshop on Neural Nets, held Vietri sul Mare, Salerno, Italy, from 22-24 May 1997. The papers cover a variety of topics related to neural networks, including pattern recognition, signal processing, theoretical models, applications in science and industry, virtual reality, fuzzy systems, and software algorithms. = By providing the reader with a comprehensive overview of recent research work in this area, the volume makes an invaluab le contribution to the Perspectives in Neural Computing Series. Neural Nets - WIRN VIETRI-97 will provide invaluable reading material for anyone who needs to keep up to date with the latest developments in neural networks and related areas. It will be of particular interest to academic and industrial researchers, and postgraduate and graduate students.
Book Synopsis The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics by : Jeffrey Racine
Download or read book The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics written by Jeffrey Racine and published by Oxford University Press. This book was released on 2014-04 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume, edited by Jeffrey Racine, Liangjun Su, and Aman Ullah, contains the latest research on nonparametric and semiparametric econometrics and statistics. Chapters by leading international econometricians and statisticians highlight the interface between econometrics and statistical methods for nonparametric and semiparametric procedures.
Book Synopsis Introduction to Null by : Gilad James, PhD
Download or read book Introduction to Null written by Gilad James, PhD and published by Gilad James Mystery School. This book was released on with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt:
