Sampling Techniques For Supervised Or Unsupervised Tasks

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Sampling Techniques for Supervised or Unsupervised Tasks

Author : Frédéric Ros
Publisher : Springer Nature
ISBN 13 : 3030293491
Total Pages : 239 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Sampling Techniques for Supervised or Unsupervised Tasks by : Frédéric Ros

Download or read book Sampling Techniques for Supervised or Unsupervised Tasks written by Frédéric Ros and published by Springer Nature. This book was released on 2019-10-26 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes in detail sampling techniques that can be used for unsupervised and supervised cases, with a focus on sampling techniques for machine learning algorithms. It covers theory and models of sampling methods for managing scalability and the “curse of dimensionality”, their implementations, evaluations, and applications. A large part of the book is dedicated to database comprising standard feature vectors, and a special section is reserved to the handling of more complex objects and dynamic scenarios. The book is ideal for anyone teaching or learning pattern recognition and interesting teaching or learning pattern recognition and is interested in the big data challenge. It provides an accessible introduction to the field and discusses the state of the art concerning sampling techniques for supervised and unsupervised task. Provides a comprehensive description of sampling techniques for unsupervised and supervised tasks; Describe implementation and evaluation of algorithms that simultaneously manage scalable problems and curse of dimensionality; Addresses the role of sampling in dynamic scenarios, sampling when dealing with complex objects, and new challenges arising from big data. "This book represents a timely collection of state-of-the art research of sampling techniques, suitable for anyone who wants to become more familiar with these helpful techniques for tackling the big data challenge." M. Emre Celebi, Ph.D., Professor and Chair, Department of Computer Science, University of Central Arkansas "In science the difficulty is not to have ideas, but it is to make them work" From Carlo Rovelli

Data Science Concepts and Techniques with Applications

Author : Usman Qamar
Publisher : Springer Nature
ISBN 13 : 3031174429
Total Pages : 492 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Data Science Concepts and Techniques with Applications by : Usman Qamar

Download or read book Data Science Concepts and Techniques with Applications written by Usman Qamar and published by Springer Nature. This book was released on 2023-04-02 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. The chapters of this book are organized into three parts: The first part (chapters 1 to 3) is a general introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics, followed by presentation of a wide range of applications and widely used techniques in data science. The second part, which has been updated and considerably extended compared to the first edition, is devoted to various techniques and tools applied in data science. Its chapters 4 to 10 detail data pre-processing, classification, clustering, text mining, deep learning, frequent pattern mining, and regression analysis. Eventually, the third part (chapters 11 and 12) present a brief introduction to Python and R, the two main data science programming languages, and shows in a completely new chapter practical data science in the WEKA (Waikato Environment for Knowledge Analysis), an open-source tool for performing different machine learning and data mining tasks. An appendix explaining the basic mathematical concepts of data science completes the book. This textbook is suitable for advanced undergraduate and graduate students as well as for industrial practitioners who carry out research in data science. They both will not only benefit from the comprehensive presentation of important topics, but also from the many application examples and the comprehensive list of further readings, which point to additional publications providing more in-depth research results or provide sources for a more detailed description of related topics. "This book delivers a systematic, carefully thoughtful material on Data Science." from the Foreword by Witold Pedrycz, U Alberta, Canada.

Multi-Objective Combinatorial Optimization Problems and Solution Methods

Author : Mehdi Toloo
Publisher : Academic Press
ISBN 13 : 0128238003
Total Pages : 316 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Multi-Objective Combinatorial Optimization Problems and Solution Methods by : Mehdi Toloo

Download or read book Multi-Objective Combinatorial Optimization Problems and Solution Methods written by Mehdi Toloo and published by Academic Press. This book was released on 2022-02-09 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-Objective Combinatorial Optimization Problems and Solution Methods discusses the results of a recent multi-objective combinatorial optimization achievement that considered metaheuristic, mathematical programming, heuristic, hyper heuristic and hybrid approaches. In other words, the book presents various multi-objective combinatorial optimization issues that may benefit from different methods in theory and practice. Combinatorial optimization problems appear in a wide range of applications in operations research, engineering, biological sciences and computer science, hence many optimization approaches have been developed that link the discrete universe to the continuous universe through geometric, analytic and algebraic techniques. This book covers this important topic as computational optimization has become increasingly popular as design optimization and its applications in engineering and industry have become ever more important due to more stringent design requirements in modern engineering practice. - Presents a collection of the most up-to-date research, providing a complete overview of multi-objective combinatorial optimization problems and applications - Introduces new approaches to handle different engineering and science problems, providing the field with a collection of related research not already covered in the primary literature - Demonstrates the efficiency and power of the various algorithms, problems and solutions, including numerous examples that illustrate concepts and algorithms

Computational Science and Its Applications – ICCSA 2021

Author : Osvaldo Gervasi
Publisher : Springer Nature
ISBN 13 : 3030869768
Total Pages : 762 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Computational Science and Its Applications – ICCSA 2021 by : Osvaldo Gervasi

Download or read book Computational Science and Its Applications – ICCSA 2021 written by Osvaldo Gervasi and published by Springer Nature. This book was released on 2021-09-11 with total page 762 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ten-volume set LNCS 12949 – 12958 constitutes the proceedings of the 21st International Conference on Computational Science and Its Applications, ICCSA 2021, which was held in Cagliari, Italy, during September 13 – 16, 2021. The event was organized in a hybrid mode due to the Covid-19 pandemic.The 466 full and 18 short papers presented in these proceedings were carefully reviewed and selected from 1588 submissions. The books cover such topics as multicore architectures, computational astrochemistry, mobile and wireless security, sensor networks, open source software, collaborative and social computing systems and tools, computational geometry, applied mathematics human computer interaction, software design engineering, and others. Part V of the set includes the the proceedings on the following workshops: International Workshop on Computational Geometry and Applications (CGA 2021); International Workshop on Collaborative Intelligence in Multimodal Applications (CIMA 2021); International Workshop on Computational Science and HPC (CSHPC 2021); International Workshop on Computational Optimization and Applications (COA 2021); International Workshop on Cities, Technologies and Planning (CTP 2021); International Workshop on Computational Astrochemistry (CompAstro 2021); International Workshop on Advanced Modeling E-Mobility in Urban Spaces (DEMOS 2021).The chapters "On Local Convergence of Stochastic Global Optimization Algorithms" and "Computing Binding Energies of Interstellar Molecules by Semiempirical Quantum Methods: Comparison between DFT and GFN2 on Crystalline Ice" are published open access under a CC BY license (Creative Commons Attribution 4.0 International License).

Optimization, Learning Algorithms and Applications

Author : Ana I. Pereira
Publisher : Springer Nature
ISBN 13 : 3031232364
Total Pages : 840 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Optimization, Learning Algorithms and Applications by : Ana I. Pereira

Download or read book Optimization, Learning Algorithms and Applications written by Ana I. Pereira and published by Springer Nature. This book was released on 2023-01-01 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Second International Conference on Optimization, Learning Algorithms and Applications, OL2A 2022, held in Bragança, Portugal, in October 2022. The 53 full papers and 3 short papers were thoroughly reviewed and selected from 145 submissions. They are organized in the topical sections on Machine and Deep Learning; Optimization; Artificial Intelligence; Optimization in Control Systems Design; Measurements with the Internet of Things; Trends in Engineering Education; Advances and Optimization in Cyber-Physical Systems; and Computer vision based on learning algorithms.

Innovation and Competitiveness in Industry 4.0 Based on Intelligent Systems

Author : Luis Carlos Méndez-González
Publisher : Springer Nature
ISBN 13 : 303129775X
Total Pages : 338 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Innovation and Competitiveness in Industry 4.0 Based on Intelligent Systems by : Luis Carlos Méndez-González

Download or read book Innovation and Competitiveness in Industry 4.0 Based on Intelligent Systems written by Luis Carlos Méndez-González and published by Springer Nature. This book was released on 2023-06-16 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a series of applications of different techniques found in Industry 4.0 with relation to productivity, continuous improvement, quality, decision systems, software development, and automation systems. The techniques used throughout this book allow the reader to replicate the results obtained towards different types of companies that wish to undertake in the new era of the digital industrial revolution. This book can also help students from different areas of engineering to understand how the use of new technologies is applied to solve current relevant problems and how they give the possibility of constant innovation in the different industrial sectors. This is accomplished through the analysis of illustrative case studies, descriptive methodologies and structured insights that are provided through the different considered techniques.

International Conference on Communication, Computing and Electronics Systems

Author : V. Bindhu
Publisher : Springer Nature
ISBN 13 : 9813349093
Total Pages : 821 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis International Conference on Communication, Computing and Electronics Systems by : V. Bindhu

Download or read book International Conference on Communication, Computing and Electronics Systems written by V. Bindhu and published by Springer Nature. This book was released on 2021-03-25 with total page 821 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes high-quality papers presented at the International Conference on Communication, Computing and Electronics Systems 2020, held at the PPG Institute of Technology, Coimbatore, India, on 21–22 October 2020. The book covers topics such as automation, VLSI, embedded systems, integrated device technology, satellite communication, optical communication, RF communication, microwave engineering, artificial intelligence, deep learning, pattern recognition, Internet of Things, precision models, bioinformatics, and healthcare informatics.

Artificial Intelligence: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 152251760X
Total Pages : 3095 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Artificial Intelligence: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Artificial Intelligence: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2016-12-12 with total page 3095 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.

Artificial Intelligence in Medical Imaging in China

Author : Shiyuan Liu
Publisher : Springer Nature
ISBN 13 : 9819984416
Total Pages : 448 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Artificial Intelligence in Medical Imaging in China by : Shiyuan Liu

Download or read book Artificial Intelligence in Medical Imaging in China written by Shiyuan Liu and published by Springer Nature. This book was released on with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Solving Large Scale Learning Tasks. Challenges and Algorithms

Author : Stefan Michaelis
Publisher : Springer
ISBN 13 : 3319417061
Total Pages : 397 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Solving Large Scale Learning Tasks. Challenges and Algorithms by : Stefan Michaelis

Download or read book Solving Large Scale Learning Tasks. Challenges and Algorithms written by Stefan Michaelis and published by Springer. This book was released on 2016-07-02 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: In celebration of Prof. Morik's 60th birthday, this Festschrift covers research areas that Prof. Morik worked in and presents various researchers with whom she collaborated. The 23 refereed articles in this Festschrift volume provide challenges and solutions from theoreticians and practitioners on data preprocessing, modeling, learning, and evaluation. Topics include data-mining and machine-learning algorithms, feature selection and feature generation, optimization as well as efficiency of energy and communication.

Machine Learning in Complex Networks

Author : Thiago Christiano Silva
Publisher : Springer
ISBN 13 : 3319172905
Total Pages : 345 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Machine Learning in Complex Networks by : Thiago Christiano Silva

Download or read book Machine Learning in Complex Networks written by Thiago Christiano Silva and published by Springer. This book was released on 2016-01-28 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the features and advantages offered by complex networks in the machine learning domain. In the first part, an overview on complex networks and network-based machine learning is presented, offering necessary background material. In the second part, we describe in details some specific techniques based on complex networks for supervised, non-supervised, and semi-supervised learning. Particularly, a stochastic particle competition technique for both non-supervised and semi-supervised learning using a stochastic nonlinear dynamical system is described in details. Moreover, an analytical analysis is supplied, which enables one to predict the behavior of the proposed technique. In addition, data reliability issues are explored in semi-supervised learning. Such matter has practical importance and is not often found in the literature. With the goal of validating these techniques for solving real problems, simulations on broadly accepted databases are conducted. Still in this book, we present a hybrid supervised classification technique that combines both low and high orders of learning. The low level term can be implemented by any classification technique, while the high level term is realized by the extraction of features of the underlying network constructed from the input data. Thus, the former classifies the test instances by their physical features, while the latter measures the compliance of the test instances with the pattern formation of the data. We show that the high level technique can realize classification according to the semantic meaning of the data. This book intends to combine two widely studied research areas, machine learning and complex networks, which in turn will generate broad interests to scientific community, mainly to computer science and engineering areas.

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions

Author : Igor V. Tetko
Publisher : Springer Nature
ISBN 13 : 3030304930
Total Pages : 872 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions by : Igor V. Tetko

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions written by Igor V. Tetko and published by Springer Nature. This book was released on 2019-09-10 with total page 872 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Advances in Knowledge Discovery and Data Mining

Author : De-Nian Yang
Publisher : Springer Nature
ISBN 13 : 9819722594
Total Pages : 448 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : De-Nian Yang

Download or read book Advances in Knowledge Discovery and Data Mining written by De-Nian Yang and published by Springer Nature. This book was released on with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Activity Recognition and Prediction for Smart IoT Environments

Author : Michele Ianni
Publisher : Springer Nature
ISBN 13 : 3031600274
Total Pages : 188 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Activity Recognition and Prediction for Smart IoT Environments by : Michele Ianni

Download or read book Activity Recognition and Prediction for Smart IoT Environments written by Michele Ianni and published by Springer Nature. This book was released on with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Classification

Author : Charu C. Aggarwal
Publisher : CRC Press
ISBN 13 : 1498760589
Total Pages : 710 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Data Classification by : Charu C. Aggarwal

Download or read book Data Classification written by Charu C. Aggarwal and published by CRC Press. This book was released on 2014-07-25 with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive Coverage of the Entire Area of ClassificationResearch on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, Data Classification: Algorithms and Applications explores the underlyi

Neural Information Processing

Author : Biao Luo
Publisher : Springer Nature
ISBN 13 : 9819980739
Total Pages : 621 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Neural Information Processing by : Biao Luo

Download or read book Neural Information Processing written by Biao Luo and published by Springer Nature. This book was released on 2023-11-14 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.

Handbook Of Accelerator Physics And Engineering (Third Edition)

Author : Alexander Wu Chao
Publisher : World Scientific
ISBN 13 : 981126919X
Total Pages : 960 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Handbook Of Accelerator Physics And Engineering (Third Edition) by : Alexander Wu Chao

Download or read book Handbook Of Accelerator Physics And Engineering (Third Edition) written by Alexander Wu Chao and published by World Scientific. This book was released on 2023-02-02 with total page 960 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edited by internationally recognized authorities in the field, this expanded and updated new edition of the bestselling Handbook, containing many new articles, is aimed at the design and operation of modern particle accelerators. It is intended as a vade mecum for professional engineers and physicists engaged in these subjects. With a collection of more than 2000 equations, 300 illustrations and 500 graphs and tables, here one will find, in addition to common formulae of previous compilations, hard to find, specialized formulae, recipes and material data pooled from the lifetime experience of many of the world's most able practioners of the art and science of accelerators.The seven chapters include both theoretical and practical matters as well as an extensive glossary of accelerator types. Chapters on beam dynamics and electromagnetic and nuclear interactions deal with linear and nonlinear single particle and collective effects including spin motion, beam-environment, beam-beam, beam-electron, beam-ion and intrabeam interactions. The impedance concept and related calculations are dealt with at length as are the instabilities due to the various interactions mentioned. A chapter on operational considerations including discussions on the assessment and correction of orbit and optics errors, realtime feedbacks, generation of short photon pulses, bunch compression, phase-space exchange, tuning of normal and superconducting linacs, energy recovery linacs, free electron lasers, cryogenic vacuum systems, steady state microbuching, cooling, space-charge compensation, brightness of light sources, collider luminosity optimization and collision schemes, machine learning, multiple frequency rf systems, FEL seeding, ultrafast electron diffraction, and Gamma Factory. Chapters on mechanical and electrical considerations present material data and important aspects of component design including heat transfer and refrigeration. Hardware systems for particle sources, feedback systems, confinement, including undulators, and acceleration (both normal and superconducting) receive detailed treatment in a sub-systems chapter, beam measurement and apparatus being treated therein as well.A detailed name and subject index is provided together with reliable references to the literature where the most detailed information available on all subjects treated can be found.