Data Variant Kernel Analysis

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Data-Variant Kernel Analysis

Author : Yuichi Motai
Publisher : John Wiley & Sons
Page : 256 pages
File Size : 47,8 Mb
Release : 2015-04-27
Category : Computers
ISBN : 9781119019343

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Data-Variant Kernel Analysis by Yuichi Motai Pdf

Describes and discusses the variants of kernel analysis methods for data types that have been intensely studied in recent years This book covers kernel analysis topics ranging from the fundamental theory of kernel functions to its applications. The book surveys the current status, popular trends, and developments in kernel analysis studies. The author discusses multiple kernel learning algorithms and how to choose the appropriate kernels during the learning phase. Data-Variant Kernel Analysis is a new pattern analysis framework for different types of data configurations. The chapters include data formations of offline, distributed, online, cloud, and longitudinal data, used for kernel analysis to classify and predict future state. Data-Variant Kernel Analysis: Surveys the kernel analysis in the traditionally developed machine learning techniques, such as Neural Networks (NN), Support Vector Machines (SVM), and Principal Component Analysis (PCA) Develops group kernel analysis with the distributed databases to compare speed and memory usages Explores the possibility of real-time processes by synthesizing offline and online databases Applies the assembled databases to compare cloud computing environments Examines the prediction of longitudinal data with time-sequential configurations Data-Variant Kernel Analysis is a detailed reference for graduate students as well as electrical and computer engineers interested in pattern analysis and its application in colon cancer detection.

Data-Variant Kernel Analysis

Author : Yuichi Motai
Publisher : John Wiley & Sons
Page : 256 pages
File Size : 54,5 Mb
Release : 2015-04-13
Category : Computers
ISBN : 9781119019336

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Data-Variant Kernel Analysis by Yuichi Motai Pdf

Describes and discusses the variants of kernel analysismethods for data types that have been intensely studied in recentyears This book covers kernel analysis topics ranging from thefundamental theory of kernel functions to its applications. Thebook surveys the current status, popular trends, and developmentsin kernel analysis studies. The author discusses multiple kernellearning algorithms and how to choose the appropriate kernelsduring the learning phase. Data-Variant Kernel Analysis is anew pattern analysis framework for different types of dataconfigurations. The chapters include data formations of offline,distributed, online, cloud, and longitudinal data, used for kernelanalysis to classify and predict future state. Data-Variant Kernel Analysis: Surveys the kernel analysis in the traditionally developedmachine learning techniques, such as Neural Networks (NN), SupportVector Machines (SVM), and Principal Component Analysis (PCA) Develops group kernel analysis with the distributed databasesto compare speed and memory usages Explores the possibility of real-time processes by synthesizingoffline and online databases Applies the assembled databases to compare cloud computingenvironments Examines the prediction of longitudinal data withtime-sequential configurations Data-Variant Kernel Analysis is a detailed reference forgraduate students as well as electrical and computer engineersinterested in pattern analysis and its application in colon cancerdetection.

OpenMP: Advanced Task-Based, Device and Compiler Programming

Author : Simon McIntosh-Smith,Michael Klemm,Bronis R. de Supinski,Tom Deakin,Jannis Klinkenberg
Publisher : Springer Nature
Page : 244 pages
File Size : 49,9 Mb
Release : 2023-08-30
Category : Computers
ISBN : 9783031407444

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OpenMP: Advanced Task-Based, Device and Compiler Programming by Simon McIntosh-Smith,Michael Klemm,Bronis R. de Supinski,Tom Deakin,Jannis Klinkenberg Pdf

This book constitutes the proceedings of the 19th International Workshop on OpenMP, IWOMP 2023, held in Bristol, UK, during September 13–15, 2023. The 15 full papers presented in this book were carefully reviewed and selected from 20 submissions. The papers are divided into the following topical sections: OpenMP and AI; Tasking Extensions; OpenMP Offload Experiences; Beyond Explicit GPU Support; and OpenMP Infrastructure and Evaluation.

Artificial Intelligence for Healthy Longevity

Author : Alexey Moskalev,Ilia Stambler,Alex Zhavoronkov
Publisher : Springer Nature
Page : 328 pages
File Size : 45,8 Mb
Release : 2023-07-07
Category : Science
ISBN : 9783031351761

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Artificial Intelligence for Healthy Longevity by Alexey Moskalev,Ilia Stambler,Alex Zhavoronkov Pdf

This book reviews the state-of-the-art efforts to apply machine learning and AI methods for healthy aging and longevity research, diagnosis, and therapy development. The book examines the methods of machine learning and their application in the analysis of big medical data, medical images, the creation of algorithms for assessing biological age, and effectiveness of geroprotective medications. The promises and challenges of using AI to help achieve healthy longevity for the population are manifold. This volume, written by world-leading experts working at the intersection of AI and aging, provides a unique synergy of these two highly prominent fields and aims to create a balanced and comprehensive overview of the application methodology that can help achieve healthy longevity for the population. The book is accessible and valuable for specialists in AI and longevity research, as well as a wide readership, including gerontologists, geriatricians, medical specialists, and students from diverse fields, basic scientists, public and private research entities, and policy makers interested in potential intervention in degenerative aging processes using advanced computational tools.

Fundamentals of Cognitive Radio

Author : Peyman Setoodeh,Simon Haykin
Publisher : John Wiley & Sons
Page : 240 pages
File Size : 51,8 Mb
Release : 2017-07-31
Category : Technology & Engineering
ISBN : 9781118302965

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Fundamentals of Cognitive Radio by Peyman Setoodeh,Simon Haykin Pdf

A comprehensive treatment of cognitive radio networks and the specialized techniques used to improve wireless communications The human brain, as exemplified by cognitive radar, cognitive radio, and cognitive computing, inspires the field of Cognitive Dynamic Systems. In particular, cognitive radio is growing at an exponential rate. Fundamentals of Cognitive Radio details different aspects of the human brain and provides examples of how it can be mimicked by cognitive dynamic systems. The text offers a communication-theoretic background, including information on resource allocation in wireless networks and the concept of robustness. The authors provide a thorough mathematical background with data on game theory, variational inequalities, and projected dynamic systems. They then delve more deeply into resource allocation in cognitive radio networks. The text investigates the dynamics of cognitive radio networks from the perspectives of information theory, optimization, and control theory. It also provides a vision for the new world of wireless communications by integration of cellular and cognitive radio networks. This groundbreaking book: Shows how wireless communication systems increasingly use cognition to enhance their networks Explores how cognitive radio networks can be viewed as spectrum supply chain networks Derives analytic models for two complementary regimes for spectrum sharing (open-access and market-driven) to study both equilibrium and disequilibrium behaviors of networks Studies cognitive heterogeneous networks with emphasis on economic provisioning for resource sharing Introduces a framework that addresses the issue of spectrum sharing across licensed and unlicensed bands aimed for Pareto optimality Written for students of cognition, communication engineers, telecommunications professionals, and others, Fundamentals of Cognitive Radio offers a new generation of ideas and provides a fresh way of thinking about cognitive techniques in order to improve radio networks.

Visual Data Exploration and Analysis

Author : Anonim
Publisher : Unknown
Page : 504 pages
File Size : 53,7 Mb
Release : 1995
Category : Digital computer simulation
ISBN : UOM:39015034260151

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Visual Data Exploration and Analysis by Anonim Pdf

Kernel Methods for Pattern Analysis

Author : John Shawe-Taylor,Nello Cristianini
Publisher : Cambridge University Press
Page : 520 pages
File Size : 41,6 Mb
Release : 2004-06-28
Category : Computers
ISBN : 0521813972

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Kernel Methods for Pattern Analysis by John Shawe-Taylor,Nello Cristianini Pdf

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Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators

Author : Tailen Hsing,Randall Eubank
Publisher : John Wiley & Sons
Page : 362 pages
File Size : 42,8 Mb
Release : 2015-05-06
Category : Mathematics
ISBN : 9780470016916

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Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators by Tailen Hsing,Randall Eubank Pdf

Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators provides a uniquely broad compendium of the key mathematical concepts and results that are relevant for the theoretical development of functional data analysis (FDA). The self–contained treatment of selected topics of functional analysis and operator theory includes reproducing kernel Hilbert spaces, singular value decomposition of compact operators on Hilbert spaces and perturbation theory for both self–adjoint and non self–adjoint operators. The probabilistic foundation for FDA is described from the perspective of random elements in Hilbert spaces as well as from the viewpoint of continuous time stochastic processes. Nonparametric estimation approaches including kernel and regularized smoothing are also introduced. These tools are then used to investigate the properties of estimators for the mean element, covariance operators, principal components, regression function and canonical correlations. A general treatment of canonical correlations in Hilbert spaces naturally leads to FDA formulations of factor analysis, regression, MANOVA and discriminant analysis. This book will provide a valuable reference for statisticians and other researchers interested in developing or understanding the mathematical aspects of FDA. It is also suitable for a graduate level special topics course.

Machine Learning, ECML- ...

Author : Anonim
Publisher : Unknown
Page : 614 pages
File Size : 54,9 Mb
Release : 2004
Category : Induction (Logic)
ISBN : UOM:39015058888143

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Machine Learning, ECML- ... by Anonim Pdf

Intelligent Multimedia Computing Science

Author : Cyrus F. Nourani
Publisher : Unknown
Page : 214 pages
File Size : 54,9 Mb
Release : 2005
Category : Computers
ISBN : UOM:39015060860205

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Intelligent Multimedia Computing Science by Cyrus F. Nourani Pdf

Intelligent Multimedia Computing Science is an interdisciplinary field combining the arts, sciences, artificial intelligence, computer science, mathematics, and the humanities. The field presented is deeply rooted in Al, mathematical logic and models, modern communications, computer, and human sciences. Academic digital media studies are at times a partnership among Arts and Sciences, Computer Science, and Mathematics. The new fields encompass the intelligent and cognitive aspects of media arts and sciences, exploring the technical, cognitive, and aesthetic bases to human multimedia intelligence and its computation, the applications to business intelligence, model discovery, data mines and intelligent data bases, and IT. The monograph is a technical and practical book to the popular audience, to the business minded professionals, and to all groups wanting to be on an intelligent bearing to the new field.

Density Ratio Estimation in Machine Learning

Author : Masashi Sugiyama,Taiji Suzuki,Takafumi Kanamori
Publisher : Cambridge University Press
Page : 343 pages
File Size : 41,9 Mb
Release : 2012-02-20
Category : Computers
ISBN : 9780521190176

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Density Ratio Estimation in Machine Learning by Masashi Sugiyama,Taiji Suzuki,Takafumi Kanamori Pdf

This book introduces theories, methods and applications of density ratio estimation, a newly emerging paradigm in the machine learning community.

Journal of Machine Learning Research

Author : Anonim
Publisher : Unknown
Page : 1428 pages
File Size : 45,9 Mb
Release : 2007
Category : Machine learning
ISBN : UCSD:31822036045433

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Journal of Machine Learning Research by Anonim Pdf

An international forum covering all areas of machine learning.

Advances in Systems Research and Cybernetics: Advances in computer science

Author : International Institute for Advanced Studies in Systems Research and Cybernetics
Publisher : Windsor, Ont. : International Institute for Advanced Studies in Systems Research and Cybernetics
Page : 616 pages
File Size : 41,5 Mb
Release : 1988
Category : Computers
ISBN : PSU:000018788839

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Advances in Systems Research and Cybernetics: Advances in computer science by International Institute for Advanced Studies in Systems Research and Cybernetics Pdf