Machine learning

This book is written both for readers entering the field, and for practitioners with a background in AI and an interest in developing real-world applications.

This book provides comprehensive coverage on a new direction in computational mathematics research: automatic search for formulas.

This book offers an introduction into quantum machine learning research, covering approaches that range from "e;near-term"e; to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data.

This book, now in an extensively revised and updated second edition, provides a comprehensive overview of both machine learning and deep learning and their role in oncology, medical physics, and radiology.

This book constitutes the proceedings of the Third International Workshop on Explainable, Transparent AI and Multi-Agent Systems, EXTRAAMAS 2021, which was held virtually due to the COVID-19 pandemic.

This book provides readers with a guide to the use of Digital Twin in manufacturing.

The modern structural health monitoring (SHM) paradigm of transforming in situ, real-time data acquisition into actionable decisions regarding structural performance, health state, maintenance, or life cycle assessment has been accelerated by the rapid growth of "e;big data"e; availability and advanced data science.

This book constitutes the refereed proceedings of the 35th Annual IFIP WG 11.

This book constitutes the thoroughly refereed post-workshop proceedings of the 21st Chinese Lexical Semantics Workshop, CLSW 2020, held in Hong Kong, China in May 2020.

This textbook tackles the problem of formulating AI systems by combining probabilistic modeling and deep learning.

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering.

This book introduces readers to Bayesian optimization, highlighting advances in the field and showcasing its successful applications to computer experiments.

This textbook presents deep learning models and their healthcare applications.

This book uses machine-learning to identify the causes of conflict from among the top predictors of conflict.

This two-volume book constitutes the post-conference proceedings of the 5th International Conference on Advances in Computing and Data Sciences, ICACDS 2021, held in Nashik, India, in April 2021.

This book proposes tools for analysis of multidimensional and metric data, by establishing a state-of-the-art of the existing solutions and developing new ones.

This book constitutes the refereed proceedings of the 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, held online in July 2021.

This book constitutes the refereed proceedings of the 25th Conference on Medical Image Understanding and Analysis, MIUA 2021, held in July 2021.

This book constitutes the proceedings of the 14th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2021, which was held online during July 6-9, 2021.

This book presents covariance matrix estimation and related aspects of random matrix theory.

This textbook describes the hands-on application of data science techniques to solve problems in manufacturing and the Industrial Internet of Things (IIoT).

The two-volume set LNCS 12765-12766 constitutes the refereed proceedings of the thematic area Human Interface and the Management of Information, HIMI 2021, which was held as part of HCI International 2021 and took place virtually during July 24-29, 2021.

This book discusses machine learning and artificial intelligence (AI) for agricultural economics.

This book constitutes the refereed proceedings of the 11th International Conference on Functional Imaging and Modeling of the Heart, which took place online during June 21-24, 2021, organized by the University of Stanford.

The 3-volume set CCIS 1422, CCIS 1423 and CCIS 1424 constitutes the refereed proceedings of the 7th International Conference on Artificial Intelligence and Security, ICAIS 2021, which was held in Dublin, Ireland, in July 2021.

This book constitutes the refereed proceedings of the Second International Conference on Artificial Intelligence in HCI, AI-HCI 2021, which was held as part of HCI International 2021 and took place virtually during July 24-29, 2021.

This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems.

Can artificial intelligence learn mathematics?

The three-volume set LNCS 12771-12773 constitutes the refereed proceedings of the 13th International Conference on Cross-Cultural Design, CCD 2021, which was held as part of HCI International 2021 and took place virtually during July 24-29, 2021.

The three-volume set LNCS 12771-12773 constitutes the refereed proceedings of the 13th International Conference on Cross-Cultural Design, CCD 2021, which was held as part of HCI International 2021 and took place virtually during July 24-29, 2021.

This book is written for software product teams that use AI to add intelligent models to their products or are planning to use it.

As the 4th Industrial Revolution is restructuring human societal organization into, so-called, "e;Society 5.

This book constitutes the proceedings of the First IAPR International Conference on Discrete Geometry and Mathematical Morphology, DGMM 2021, which was held during May 24-27, 2021, in Uppsala, Sweden.

This contributed volume provides the state-of-the-art development on security and privacy for cyber-physical systems (CPS) and industrial Internet of Things (IIoT).

This book provides a first course on deep learning in computational mechanics.

This book constitutes the proceedings of the 6th International Conference on Business Intelligence, CBI 2021, which took place in Beni Mellal, Morocco, during May 27-29, 2021.

This book constitutes revised and selected papers from the scientific satellite events held in conjunction with the18th International Conference on Service-Oriented Computing, ICSOC 2020.

This book provides an accessible introduction to the foundations of machine learning and deep learning in medicine for medical students, researchers, and professionals who are not necessarily initiated in advanced mathematics but yearn for a better understanding of this disruptive technology and its impact on medicine.

This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning.

This book discusses several exciting research topics and applications in the intelligent Heterogenous Networks (Het-Net) and Internet of Things (IoT) era.

This book is the result of a multi-year research project led and sponsored by the University of Chieti-Pescara, National Chengchi University, University of Salamanca, and Osaka University.

This book constitutes the proceedings of the 8th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2021, which took place during May 16-20, 2021.

This is the first book on synthetic data for deep learning, and its breadth of coverage may render this book as the default reference on synthetic data for years to come.

This book presents and discusses the numerous measures of test performance that can be derived from 2x2 tables.

This handbook discusses challenges and limitations in existing solutions, and presents state-of-the-art advances from both academia and industry, in big data analytics and digital forensics.

This book provides an overview of different deep learning-based methods for face recognition and related problems.

This book constitutes the proceedings of the 7th International Conference on Decision Support Systems Technologies, ICDSST 2021, held during May 26-28, 2021.

This book provides insights into smart ways of computer log data analysis, with the goal of spotting adversarial actions.

This textbook provides a step-by-step introduction to the tools and principles of high-dimensional statistics.

This book encompasses a systematic exploration of Cybersecurity Data Science (CSDS) as an emerging profession, focusing on current versus idealized practice.