Pdf ebook: Matrix and Tensor Factorization Techniques for Recommender Systems

Pdf download ebook Matrix and Tensor Factorization Techniques for Recommender Systems

Summary: This book presents the algorithms used to provide recommendations by exploiting matrix factorization and tensor decomposition techniques. It highlights wel

  • Author : N.a
  • Publisher: Springer
  • ISBN: 3319413570
  • Genre: Computers
  • Number of Pages: 102
  • Language: English
  • Views: 1691
  • Downloads: 1691
  • GET BOOK

Description: This book presents the algorithms used to provide recommendations by exploiting matrix factorization and tensor decomposition techniques. It highlights well-known decomposition methods for recommender systems, such as Singular Value Decomposition (SVD), UV-decomposition, Non-negative Matrix Factorization (NMF), etc. and describes in detail the pros and cons of each method for matrices and tensors. This book provides a detailed theoretical mathematical background of matrix/tensor factorization techniques and a step-by-step analysis of each method on the basis of an integrated toy example that runs throughout all its chapters and helps the reader to understand the key differences among methods. It also contains two chapters, where different matrix and tensor methods are compared experimentally on real data sets, such as Epinions, GeoSocialRec, Last.fm, BibSonomy, etc. and provides further insights into the advantages and disadvantages of each method. The book offers a rich blend of theory and practice, making it suitable for students, researchers and practitioners interested in both recommenders and factorization methods. Lecturers can also use it for classes on data mining, recommender systems and dimensionality reduction methods.


Pdf ebook: Service-Oriented Computing

Pdf download ebook Service-Oriented Computing

Summary: This book constitutes the proceedings of the 17th International Conference on Service-Oriented Computing, ICSOC 2019, held in Toulouse, France, in October

  • Author : Sami Yangui,Ismael Bouassida Rodriguez,Khalil Drira,Zahir Tari
  • Publisher: Springer Nature
  • ISBN: 3030337022
  • Genre: Computers
  • Number of Pages: 583
  • Language: English
  • Views: 488
  • Downloads: 488
  • GET BOOK

Description: This book constitutes the proceedings of the 17th International Conference on Service-Oriented Computing, ICSOC 2019, held in Toulouse, France, in October 2019. The 28 full and 12 short papers presented together with 7 poster and 2 invited papers in this volume were carefully reviewed and selected from 181 submissions. The papers have been organized in the following topical sections: Service Engineering; Run-time Service Operations and Management; Services and Data; Services in the Cloud; Services on the Internet of Things; Services in Organizations, Business and Society; and Services at the Edge.


Pdf ebook: Science of Cyber Security

Pdf download ebook Science of Cyber Security

Summary: This book constitutes the proceedings of the Second International Conference on Science of Cyber Security, SciSec 2019, held in Nanjing, China, in August 2

  • Author : Feng Liu,Jia Xu,Shouhuai Xu,Moti Yung
  • Publisher: Springer Nature
  • ISBN: 3030346374
  • Genre: Computers
  • Number of Pages: 382
  • Language: English
  • Views: 491
  • Downloads: 491
  • GET BOOK

Description: This book constitutes the proceedings of the Second International Conference on Science of Cyber Security, SciSec 2019, held in Nanjing, China, in August 2019. The 20 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 62 submissions. These papers cover the following subjects: Artificial Intelligence for Cybersecurity, Machine Learning for Cybersecurity, and Mechanisms for Solving Actual Cybersecurity Problems (e.g., Blockchain, Attack and Defense; Encryptions with Cybersecurity Applications).


Pdf ebook: Machine Learning Meets Quantum Physics

Pdf download ebook Machine Learning Meets Quantum Physics

Summary: Designing molecules and materials with desired properties is an important prerequisite for advancing technology in our modern societies. This requires both

  • Author : Kristof T. Schütt,Stefan Chmiela,O. Anatole von Lilienfeld,Alexandre Tkatchenko,Koji Tsuda,Klaus-Robert Müller
  • Publisher: Springer Nature
  • ISBN: 3030402452
  • Genre: Science
  • Number of Pages: 467
  • Language: English
  • Views: 421
  • Downloads: 421
  • GET BOOK

Description: Designing molecules and materials with desired properties is an important prerequisite for advancing technology in our modern societies. This requires both the ability to calculate accurate microscopic properties, such as energies, forces and electrostatic multipoles of specific configurations, as well as efficient sampling of potential energy surfaces to obtain corresponding macroscopic properties. Tools that can provide this are accurate first-principles calculations rooted in quantum mechanics, and statistical mechanics, respectively. Unfortunately, they come at a high computational cost that prohibits calculations for large systems and long time-scales, thus presenting a severe bottleneck both for searching the vast chemical compound space and the stupendously many dynamical configurations that a molecule can assume. To overcome this challenge, recently there have been increased efforts to accelerate quantum simulations with machine learning (ML). This emerging interdisciplinary community encompasses chemists, material scientists, physicists, mathematicians and computer scientists, joining forces to contribute to the exciting hot topic of progressing machine learning and AI for molecules and materials. The book that has emerged from a series of workshops provides a snapshot of this rapidly developing field. It contains tutorial material explaining the relevant foundations needed in chemistry, physics as well as machine learning to give an easy starting point for interested readers. In addition, a number of research papers defining the current state-of-the-art are included. The book has five parts (Fundamentals, Incorporating Prior Knowledge, Deep Learning of Atomistic Representations, Atomistic Simulations and Discovery and Design), each prefaced by editorial commentary that puts the respective parts into a broader scientific context.


Pdf ebook: Artificial Neural Networks and Machine Learning – ICANN 2021

Pdf download ebook Artificial Neural Networks and Machine Learning – ICANN 2021

Summary: The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artifi

  • Author : Igor Farkaš,Paolo Masulli,Sebastian Otte,Stefan Wermter
  • Publisher: Springer Nature
  • ISBN: 3030863832
  • Genre: Computers
  • Number of Pages: 693
  • Language: English
  • Views: 1206
  • Downloads: 1206
  • GET BOOK

Description: The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes. In this volume, the papers focus on topics such as representation learning, reservoir computing, semi- and unsupervised learning, spiking neural networks, text understanding, transfers and meta learning, and video processing. *The conference was held online 2021 due to the COVID-19 pandemic.


Pdf ebook: Applied Matrix and Tensor Variate Data Analysis

Pdf download ebook Applied Matrix and Tensor Variate Data Analysis

Summary: This book provides comprehensive reviews of recent progress in matrix variate and tensor variate data analysis from applied points of view. Matrix and tens

  • Author : Toshio Sakata
  • Publisher: Springer
  • ISBN: 4431553878
  • Genre: Computers
  • Number of Pages: 136
  • Language: English
  • Views: 1122
  • Downloads: 1122
  • GET BOOK

Description: This book provides comprehensive reviews of recent progress in matrix variate and tensor variate data analysis from applied points of view. Matrix and tensor approaches for data analysis are known to be extremely useful for recently emerging complex and high-dimensional data in various applied fields. The reviews contained herein cover recent applications of these methods in psychology (Chap. 1), audio signals (Chap. 2) , image analysis from tensor principal component analysis (Chap. 3), and image analysis from decomposition (Chap. 4), and genetic data (Chap. 5) . Readers will be able to understand the present status of these techniques as applicable to their own fields. In Chapter 5 especially, a theory of tensor normal distributions, which is a basic in statistical inference, is developed, and multi-way regression, classification, clustering, and principal component analysis are exemplified under tensor normal distributions. Chapter 6 treats one-sided tests under matrix variate and tensor variate normal distributions, whose theory under multivariate normal distributions has been a popular topic in statistics since the books of Barlow et al. (1972) and Robertson et al. (1988). Chapters 1, 5, and 6 distinguish this book from ordinary engineering books on these topics.


Pdf ebook: Nonnegative Matrix and Tensor Factorizations

Pdf download ebook Nonnegative Matrix and Tensor Factorizations

Summary: This book provides a broad survey of models and efficient algorithms for Nonnegative Matrix Factorization (NMF). This includes NMF’s various extensions a

  • Author : Andrzej Cichocki,Rafal Zdunek,Anh Huy Phan,Shun-ichi Amari
  • Publisher: John Wiley & Sons
  • ISBN: 9780470747285
  • Genre: Science
  • Number of Pages: 500
  • Language: English
  • Views: 313
  • Downloads: 313
  • GET BOOK

Description: This book provides a broad survey of models and efficient algorithms for Nonnegative Matrix Factorization (NMF). This includes NMF’s various extensions and modifications, especially Nonnegative Tensor Factorizations (NTF) and Nonnegative Tucker Decompositions (NTD). NMF/NTF and their extensions are increasingly used as tools in signal and image processing, and data analysis, having garnered interest due to their capability to provide new insights and relevant information about the complex latent relationships in experimental data sets. It is suggested that NMF can provide meaningful components with physical interpretations; for example, in bioinformatics, NMF and its extensions have been successfully applied to gene expression, sequence analysis, the functional characterization of genes, clustering and text mining. As such, the authors focus on the algorithms that are most useful in practice, looking at the fastest, most robust, and suitable for large-scale models. Key features: Acts as a single source reference guide to NMF, collating information that is widely dispersed in current literature, including the authors’ own recently developed techniques in the subject area. Uses generalized cost functions such as Bregman, Alpha and Beta divergences, to present practical implementations of several types of robust algorithms, in particular Multiplicative, Alternating Least Squares, Projected Gradient and Quasi Newton algorithms. Provides a comparative analysis of the different methods in order to identify approximation error and complexity. Includes pseudo codes and optimized MATLAB source codes for almost all algorithms presented in the book. The increasing interest in nonnegative matrix and tensor factorizations, as well as decompositions and sparse representation of data, will ensure that this book is essential reading for engineers, scientists, researchers, industry practitioners and graduate students across signal and image processing; neuroscience; data mining and data analysis; computer science; bioinformatics; speech processing; biomedical engineering; and multimedia.


Pdf ebook: Non-negative Matrix Factorization Techniques

Pdf download ebook Non-negative Matrix Factorization Techniques

Summary: This book collects new results, concepts and further developments of NMF. The open problems discussed include, e.g. in bioinformatics: NMF and its extensio

  • Author : Ganesh R. Naik
  • Publisher: Springer
  • ISBN: 3662483319
  • Genre: Technology & Engineering
  • Number of Pages: 194
  • Language: English
  • Views: 912
  • Downloads: 912
  • GET BOOK

Description: This book collects new results, concepts and further developments of NMF. The open problems discussed include, e.g. in bioinformatics: NMF and its extensions applied to gene expression, sequence analysis, the functional characterization of genes, clustering and text mining etc. The research results previously scattered in different scientific journals and conference proceedings are methodically collected and presented in a unified form. While readers can read the book chapters sequentially, each chapter is also self-contained. This book can be a good reference work for researchers and engineers interested in NMF, and can also be used as a handbook for students and professionals seeking to gain a better understanding of the latest applications of NMF.


Pdf ebook: Multimodal Analytics for Next-Generation Big Data Technologies and Applications

Pdf download ebook Multimodal Analytics for Next-Generation Big Data Technologies and Applications

Summary: This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an

  • Author : Kah Phooi Seng,Li-minn Ang,Alan Wee-Chung Liew,Junbin Gao
  • Publisher: Springer
  • ISBN: 3319975986
  • Genre: Computers
  • Number of Pages: 391
  • Language: English
  • Views: 776
  • Downloads: 776
  • GET BOOK

Description: This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications. The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence.


Pdf ebook: Recommender Systems Handbook

Pdf download ebook Recommender Systems Handbook

Summary: This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, the

  • Author : Francesco Ricci,Lior Rokach,Bracha Shapira
  • Publisher: Springer
  • ISBN: 148997637X
  • Genre: Computers
  • Number of Pages: 1003
  • Language: English
  • Views: 1092
  • Downloads: 1092
  • GET BOOK

Description: This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, and challenges. A variety of real-world applications and detailed case studies are included. In addition to wholesale revision of the existing chapters, this edition includes new topics including: decision making and recommender systems, reciprocal recommender systems, recommender systems in social networks, mobile recommender systems, explanations for recommender systems, music recommender systems, cross-domain recommendations, privacy in recommender systems, and semantic-based recommender systems. This multi-disciplinary handbook involves world-wide experts from diverse fields such as artificial intelligence, human-computer interaction, information retrieval, data mining, mathematics, statistics, adaptive user interfaces, decision support systems, psychology, marketing, and consumer behavior. Theoreticians and practitioners from these fields will find this reference to be an invaluable source of ideas, methods and techniques for developing more efficient, cost-effective and accurate recommender systems.


Pdf ebook: Intelligent Systems Technologies and Applications

Pdf download ebook Intelligent Systems Technologies and Applications

Summary: This book contains a selection of refereed and revised papers of Intelligent Techniques and Applications track, and the Special Track on Intelligent Image

  • Author : Stefano Berretti,Sabu M. Thampi,Praveen Ranjan Srivastava
  • Publisher: Springer
  • ISBN: 3319230360
  • Genre: Computers
  • Number of Pages: 580
  • Language: English
  • Views: 1564
  • Downloads: 1564
  • GET BOOK

Description: This book contains a selection of refereed and revised papers of Intelligent Techniques and Applications track, and the Special Track on Intelligent Image Processing and Artificial Vision track originally presented at the International Symposium on Intelligent Systems Technologies and Applications (ISTA), August 10-13, 2015, Kochi, India.


Pdf ebook: Graph-Based Social Media Analysis

Pdf download ebook Graph-Based Social Media Analysis

Summary: Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction to the use of gra

  • Author : Ioannis Pitas
  • Publisher: CRC Press
  • ISBN: 1498719058
  • Genre: Computers
  • Number of Pages: 424
  • Language: English
  • Views: 900
  • Downloads: 900
  • GET BOOK

Description: Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction to the use of graph analysis in the study of social and digital media. It addresses an important scientific and technological challenge, namely the confluence of graph analysis and network theory with linear algebra, digital media, machine learning, big data analysis, and signal processing. Supplying an overview of graph-based social media analysis, the book provides readers with a clear understanding of social media structure. It uses graph theory, particularly the algebraic description and analysis of graphs, in social media studies. The book emphasizes the big data aspects of social and digital media. It presents various approaches to storing vast amounts of data online and retrieving that data in real-time. It demystifies complex social media phenomena, such as information diffusion, marketing and recommendation systems in social media, and evolving systems. It also covers emerging trends, such as big data analysis and social media evolution. Describing how to conduct proper analysis of the social and digital media markets, the book provides insights into processing, storing, and visualizing big social media data and social graphs. It includes coverage of graphs in social and digital media, graph and hyper-graph fundamentals, mathematical foundations coming from linear algebra, algebraic graph analysis, graph clustering, community detection, graph matching, web search based on ranking, label propagation and diffusion in social media, graph-based pattern recognition and machine learning, graph-based pattern classification and dimensionality reduction, and much more. This book is an ideal reference for scientists and engineers working in social media and digital media production and distribution. It is also suitable for use as a textbook in undergraduate or graduate courses on digital media, social media, or social networks.


Pdf ebook: New Trends in Databases and Information Systems

Pdf download ebook New Trends in Databases and Information Systems

Summary: This book reports on state-of-art research and applications in the field of databases and information systems. It includes both fourteen selected short con

  • Author : Barbara Catania,Tania Cerquitelli,Silvia Chiusano,Giovanna Guerrini,Mirko Kämpf,Alfons Kemper,Boris Novikov,Themis Palpanas,Jaroslav Pokorný,Athena Vakali
  • Publisher: Springer Science & Business Media
  • ISBN: 3319018639
  • Genre: Computers
  • Number of Pages: 398
  • Language: English
  • Views: 1199
  • Downloads: 1199
  • GET BOOK

Description: This book reports on state-of-art research and applications in the field of databases and information systems. It includes both fourteen selected short contributions, presented at the East-European Conference on Advances in Databases and Information Systems (ADBIS 2013, September 1-4, Genova, Italy), and twenty-six papers from ADBIS 2013 satellite events. The short contributions from the main conference are collected in the first part of the book, which covers a wide range of topics, like data management, similarity searches, spatio-temporal and social network data, data mining, data warehousing, and data management on novel architectures, such as graphics processing units, parallel database management systems, cloud and MapReduce environments. In contrast, the contributions from the satellite events are organized in five different parts, according to their respective ADBIS satellite event: BiDaTA 2013 - Special Session on Big Data: New Trends and Applications); GID 2013 – The Second International Workshop on GPUs in Databases; OAIS 2013 – The Second International Workshop on Ontologies Meet Advanced Information Systems; SoBI 2013 – The First International Workshop on Social Business Intelligence: Integrating Social Content in Decision Making; and last but not least, the Doctoral Consortium, a forum for Ph.D. students. The book, which addresses academics and professionals alike, provides the readers with a comprehensive and timely overview of new trends in database and information systems research, and promotes new ideas and collaborations among the different research communities of the eastern European countries and the rest of the world.


Pdf ebook: Recommender Systems for Social Tagging Systems

Pdf download ebook Recommender Systems for Social Tagging Systems

Summary: Social Tagging Systems are web applications in which users upload resources (e.g., bookmarks, videos, photos, etc.) and annotate it with a list of freely c

  • Author : Leandro Balby Marinho,Andreas Hotho,Robert Jäschke,Alexandros Nanopoulos,Steffen Rendle,Lars Schmidt-Thieme,Gerd Stumme,Panagiotis Symeonidis
  • Publisher: Springer Science & Business Media
  • ISBN: 1461418941
  • Genre: Computers
  • Number of Pages: 111
  • Language: English
  • Views: 1875
  • Downloads: 1875
  • GET BOOK

Description: Social Tagging Systems are web applications in which users upload resources (e.g., bookmarks, videos, photos, etc.) and annotate it with a list of freely chosen keywords called tags. This is a grassroots approach to organize a site and help users to find the resources they are interested in. Social tagging systems are open and inherently social; features that have been proven to encourage participation. However, with the large popularity of these systems and the increasing amount of user-contributed content, information overload rapidly becomes an issue. Recommender Systems are well known applications for increasing the level of relevant content over the “noise” that continuously grows as more and more content becomes available online. In social tagging systems, however, we face new challenges. While in classic recommender systems the mode of recommendation is basically the resource, in social tagging systems there are three possible modes of recommendation: users, resources, or tags. Therefore suitable methods that properly exploit the different dimensions of social tagging systems data are needed. In this book, we survey the most recent and state-of-the-art work about a whole new generation of recommender systems built to serve social tagging systems. The book is divided into self-contained chapters covering the background material on social tagging systems and recommender systems to the more advanced techniques like the ones based on tensor factorization and graph-based models.


Pdf ebook: Recommender Systems for Location-based Social Networks

Pdf download ebook Recommender Systems for Location-based Social Networks

Summary: Online social networks collect information from users' social contacts and their daily interactions (co-tagging of photos, co-rating of products etc.) to p

  • Author : Panagiotis Symeonidis,Dimitrios Ntempos,Yannis Manolopoulos
  • Publisher: Springer Science & Business Media
  • ISBN: 1493902865
  • Genre: Computers
  • Number of Pages: 108
  • Language: English
  • Views: 846
  • Downloads: 846
  • GET BOOK

Description: Online social networks collect information from users' social contacts and their daily interactions (co-tagging of photos, co-rating of products etc.) to provide them with recommendations of new products or friends. Lately, technological progressions in mobile devices (i.e. smart phones) enabled the incorporation of geo-location data in the traditional web-based online social networks, bringing the new era of Social and Mobile Web. The goal of this book is to bring together important research in a new family of recommender systems aimed at serving Location-based Social Networks (LBSNs). The chapters introduce a wide variety of recent approaches, from the most basic to the state-of-the-art, for providing recommendations in LBSNs. The book is organized into three parts. Part 1 provides introductory material on recommender systems, online social networks and LBSNs. Part 2 presents a wide variety of recommendation algorithms, ranging from basic to cutting edge, as well as a comparison of the characteristics of these recommender systems. Part 3 provides a step-by-step case study on the technical aspects of deploying and evaluating a real-world LBSN, which provides location, activity and friend recommendations. The material covered in the book is intended for graduate students, teachers, researchers, and practitioners in the areas of web data mining, information retrieval, and machine learning.


Pdf ebook: Advances in Engineering Research and Application

Pdf download ebook Advances in Engineering Research and Application

Summary: This proceedings volume gathers the outcomes of the International Conference on Engineering Research and Applications (ICERA 2019), which was held at Thai

  • Author : Kai-Uwe Sattler,Duy Cuong Nguyen,Ngoc Pi Vu,Banh Tien Long,Horst Puta
  • Publisher: Springer Nature
  • ISBN: 3030374971
  • Genre: Technology & Engineering
  • Number of Pages: 735
  • Language: English
  • Views: 1620
  • Downloads: 1620
  • GET BOOK

Description: This proceedings volume gathers the outcomes of the International Conference on Engineering Research and Applications (ICERA 2019), which was held at Thai Nguyen University of Technology, Vietnam, on December 1–2, 2019 and provided an international forum for disseminating the latest theories and practices in engineering research and applications. The conference focused on original research work in a broad range of areas, including Mechanical Engineering, Materials and Mechanics of Materials, Mechatronics and Micromechatronics, Automotive Engineering, Electrical and Electronics Engineering, and Information and Communication Technology. By sharing the latest advances in these fields, the book will help academics and professionals alike to revisit their thinking on sustainable development.


Pdf ebook: Mobile Information Service for Networks

Pdf download ebook Mobile Information Service for Networks

Summary: This book introduces readers to mobile information services for networks. The content is divided into eight chapters, each of which presents a specific con

  • Author : Changjun Jiang,Zhong Li
  • Publisher: Springer Nature
  • ISBN: 9811545693
  • Genre: Computers
  • Number of Pages: 242
  • Language: English
  • Views: 1224
  • Downloads: 1224
  • GET BOOK

Description: This book introduces readers to mobile information services for networks. The content is divided into eight chapters, each of which presents a specific concept and the latest related developments in mobile information services. Mobile information services for networks can be defined as platform-independent functional entities that provide various services based on the communication network platform. The book discusses the three main supporting technologies for mobile information services: neighbor discovery in the data link layer; routing and balanced association in the network layer; and community structure detection in the application layer. Lastly, the book describes the development of applications based on the authors’ mobile information service platform, as well as related key technologies in the domains of intelligent transportation, smart tourism, and mobile payment, such as trajectory analysis, location recommendation, and mobile behavior authentication, which are promoting the development of mobile information services. This book offers a valuable reference guide for researchers in the field of computer science and technology, as well as those in the field of network mobile information service technology.


Pdf ebook: Neural Networks and Statistical Learning

Pdf download ebook Neural Networks and Statistical Learning

Summary: This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource f

  • Author : Ke-Lin Du,M. N. S. Swamy
  • Publisher: Springer Nature
  • ISBN: 1447174526
  • Genre: Mathematics
  • Number of Pages: 988
  • Language: English
  • Views: 351
  • Downloads: 351
  • GET BOOK

Description: This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical working understanding of the content. This updated new edition presents recently published results and includes six new chapters that correspond to the recent advances in computational learning theory, sparse coding, deep learning, big data and cloud computing. Each chapter features state-of-the-art descriptions and significant research findings. The topics covered include: • multilayer perceptron; • the Hopfield network; • associative memory models;• clustering models and algorithms; • t he radial basis function network; • recurrent neural networks; • nonnegative matrix factorization; • independent component analysis; •probabilistic and Bayesian networks; and • fuzzy sets and logic. Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchers with a solid foundation and comprehensive reference on the fields of neural networks, pattern recognition, signal processing, and machine learning.


Pdf ebook: Nonnegative Matrix Factorization

Pdf download ebook Nonnegative Matrix Factorization

Summary: Nonnegative matrix factorization (NMF) in its modern form has become a standard tool in the analysis of high-dimensional data sets. This book provides a co

  • Author : Nicolas Gillis
  • Publisher: SIAM
  • ISBN: 1611976413
  • Genre: Mathematics
  • Number of Pages: 376
  • Language: English
  • Views: 1325
  • Downloads: 1325
  • GET BOOK

Description: Nonnegative matrix factorization (NMF) in its modern form has become a standard tool in the analysis of high-dimensional data sets. This book provides a comprehensive and up-to-date account of the most important aspects of the NMF problem and is the first to detail its theoretical aspects, including geometric interpretation, nonnegative rank, complexity, and uniqueness. It explains why understanding these theoretical insights is key to using this computational tool effectively and meaningfully. Nonnegative Matrix Factorization is accessible to a wide audience and is ideal for anyone interested in the workings of NMF. It discusses some new results on the nonnegative rank and the identifiability of NMF and makes available MATLAB codes for readers to run the numerical examples presented in the book. Graduate students starting to work on NMF and researchers interested in better understanding the NMF problem and how they can use it will find this book useful. It can be used in advanced undergraduate and graduate-level courses on numerical linear algebra and on advanced topics in numerical linear algebra and requires only a basic knowledge of linear algebra and optimization.


Pdf ebook: Database Systems for Advanced Applications

Pdf download ebook Database Systems for Advanced Applications

Summary: This two volume set LNCS 9642 and LNCS 9643 constitutes the refereed proceedings of the 21st International Conference on Database Systems for Advanced Appl

  • Author : Shamkant B. Navathe,Weili Wu,Shashi Shekhar,Xiaoyong Du,X. Sean Wang,Hui Xiong
  • Publisher: Springer
  • ISBN: 3319320254
  • Genre: Computers
  • Number of Pages: 551
  • Language: English
  • Views: 1258
  • Downloads: 1258
  • GET BOOK

Description: This two volume set LNCS 9642 and LNCS 9643 constitutes the refereed proceedings of the 21st International Conference on Database Systems for Advanced Applications, DASFAA 2016, held in Dallas, TX, USA, in April 2016. The 61 full papers presented were carefully reviewed and selected from a total of 183 submissions. The papers cover the following topics: crowdsourcing, data quality, entity identification, data mining and machine learning, recommendation, semantics computing and knowledge base, textual data, social networks, complex queries, similarity computing, graph databases, and miscellaneous, advanced applications.