Efficient Online Learning Algorithms for Total Least Square Problems

Efficient Online Learning Algorithms for Total Least Square Problems PDF Author: Xiangyu Kong
Publisher: Springer Nature
ISBN: 9819717655
Category :
Languages : en
Pages : 288

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Book Description

Efficient Online Learning Algorithms for Total Least Square Problems

Efficient Online Learning Algorithms for Total Least Square Problems PDF Author: Xiangyu Kong
Publisher: Springer Nature
ISBN: 9819717655
Category :
Languages : en
Pages : 288

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Book Description


Efficiency and Scalability Methods for Computational Intellect

Efficiency and Scalability Methods for Computational Intellect PDF Author: Igelnik, Boris
Publisher: IGI Global
ISBN: 1466639431
Category : Computers
Languages : en
Pages : 370

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Book Description
Computational modeling and simulation has developed and expanded into a diverse range of fields such as digital signal processing, image processing, robotics, systems biology, and many more; enhancing the need for a diversifying problem solving applications in this area. Efficiency and Scalability Methods for Computational Intellect presents various theories and methods for approaching the problem of modeling and simulating intellect in order to target computation efficiency and scalability of proposed methods. Researchers, instructors, and graduate students will benefit from this current research and will in turn be able to apply the knowledge in an effective manner to gain an understanding of how to improve this field.

Numerical Algorithms

Numerical Algorithms PDF Author: Justin Solomon
Publisher: CRC Press
ISBN: 1482251892
Category : Computers
Languages : en
Pages : 400

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Book Description
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists. Using examples from a broad base of computational tasks, including data processing, computational photography, and animation, the textbook introduces numerical modeling and algorithmic desig

Collaborative Computing: Networking, Applications and Worksharing

Collaborative Computing: Networking, Applications and Worksharing PDF Author: Honghao Gao
Publisher: Springer Nature
ISBN: 3030926354
Category : Computers
Languages : en
Pages : 757

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Book Description
This two-volume set constitutes the refereed proceedings of the 17th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 62 full papers and 7 short papers presented were carefully reviewed and selected from 206 submissions. The papers reflect the conference sessions as follows: Optimization for Collaborate System; Optimization based on Collaborative Computing; UVA and Traffic system; Recommendation System; Recommendation System & Network and Security; Network and Security; Network and Security & IoT and Social Networks; IoT and Social Networks & Images handling and human recognition; Images handling and human recognition & Edge Computing; Edge Computing; Edge Computing & Collaborative working; Collaborative working & Deep Learning and application; Deep Learning and application; Deep Learning and application; Deep Learning and application & UVA.

Twin Support Vector Machines

Twin Support Vector Machines PDF Author: Jayadeva
Publisher: Springer
ISBN: 3319461869
Category : Technology & Engineering
Languages : en
Pages : 221

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Book Description
This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and regression. In addition to presenting most of the basic models of TWSVM and twin support vector regression (TWSVR) available in the literature, it also discusses the important and challenging applications of this new machine learning methodology. A chapter on “Additional Topics” has been included to discuss kernel optimization and support tensor machine topics, which are comparatively new but have great potential in applications. It is primarily written for graduate students and researchers in the area of machine learning and related topics in computer science, mathematics, electrical engineering, management science and finance.

Proceedings of ELM-2015 Volume 1

Proceedings of ELM-2015 Volume 1 PDF Author: Jiuwen Cao
Publisher: Springer
ISBN: 3319283979
Category : Technology & Engineering
Languages : en
Pages : 516

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Book Description
This book contains some selected papers from the International Conference on Extreme Learning Machine 2015, which was held in Hangzhou, China, December 15-17, 2015. This conference brought together researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the Extreme Learning Machine (ELM) technique and brain learning. This book covers theories, algorithms ad applications of ELM. It gives readers a glance of the most recent advances of ELM.

Online Learning and Online Convex Optimization

Online Learning and Online Convex Optimization PDF Author: Shai Shalev-Shwartz
Publisher: Foundations & Trends
ISBN: 9781601985460
Category : Computers
Languages : en
Pages : 88

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Book Description
Online Learning and Online Convex Optimization is a modern overview of online learning. Its aim is to provide the reader with a sense of some of the interesting ideas and in particular to underscore the centrality of convexity in deriving efficient online learning algorithms.

Deep Learning for Hyperspectral Image Analysis and Classification

Deep Learning for Hyperspectral Image Analysis and Classification PDF Author: Linmi Tao
Publisher: Springer Nature
ISBN: 9813344202
Category : Computers
Languages : en
Pages : 207

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Book Description
This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise factor-based formulation is devised for HSI noise detection and band categorization. The method to characterize the bands along with the noise estimation of HSIs will benefit subsequent remote sensing techniques significantly. This book develops on two fronts: On the one hand, it is aimed at domain professionals who want to have an updated overview of how hyperspectral acquisition techniques can combine with deep learning architectures to solve specific tasks in different application fields. On the other hand, the authors want to target the machine learning and computer vision experts by giving them a picture of how deep learning technologies are applied to hyperspectral data from a multidisciplinary perspective. The presence of these two viewpoints and the inclusion of application fields of remote sensing by deep learning are the original contributions of this review, which also highlights some potentialities and critical issues related to the observed development trends.

Wavelet Numerical Method and Its Applications in Nonlinear Problems

Wavelet Numerical Method and Its Applications in Nonlinear Problems PDF Author: You-He Zhou
Publisher: Springer Nature
ISBN: 9813366435
Category : Technology & Engineering
Languages : en
Pages : 478

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Book Description
This book summarizes the basic theory of wavelets and some related algorithms in an easy-to-understand language from the perspective of an engineer rather than a mathematician. In this book, the wavelet solution schemes are systematically established and introduced for solving general linear and nonlinear initial boundary value problems in engineering, including the technique of boundary extension in approximating interval-bounded functions, the calculation method for various connection coefficients, the single-point Gaussian integration method in calculating the coefficients of wavelet expansions and unique treatments on nonlinear terms in differential equations. At the same time, this book is supplemented by a large number of numerical examples to specifically explain procedures and characteristics of the method, as well as detailed treatments for specific problems. Different from most of the current monographs focusing on the basic theory of wavelets, it focuses on the use of wavelet-based numerical methods developed by the author over the years. Even for the necessary basic theory of wavelet in engineering applications, this book is based on the author’s own understanding in plain language, instead of a relatively difficult professional mathematical description. This book is very suitable for students, researchers and technical personnel who only want to need the minimal knowledge of wavelet method to solve specific problems in engineering.

New Trends in Technologies

New Trends in Technologies PDF Author: Er Meng Joo
Publisher: BoD – Books on Demand
ISBN: 953307213X
Category : Computers
Languages : en
Pages : 452

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Book Description
The grandest accomplishments of engineering took place in the twentieth century. The widespread development and distribution of electricity and clean water, automobiles and airplanes, radio and television, spacecraft and lasers, antibiotics and medical imaging, computers and the Internet are just some of the highlights from a century in which engineering revolutionized and improved virtually every aspect of human life. In this book, the authors provide a glimpse of the new trends of technologies pertaining to control, management, computational intelligence and network systems.