The book contains essays in honor of Victor Raskin. The contributions are all directly related to some of the major areas of work in which Raskin's scholarship has spanned for decades. The obvious connecting idea is the encyclopedic script-based foundation of lexical meaning, which informs his pioneering work in semantics in the 1970s and 1980s. The first part of the book collects articles directly concerned with script-based semantics, which examine both the theoretical and methodological premises of the idea and its applications. Script-based semantics is the foundation of both Raskin's ground-breaking work in humor research (addressed by the articles in part 2) and in Ontological semantics (addressed in part 3), the most recent development of script-based semantics. The fourth part is dedicated to a less-known, but equally important, strand of Raskin's research, the applications of linguistics to other fields, including writing, lexicography, and professional applications (e,g., tourism). Overall, the book provides and up-to-date, in-depth discussion of an influential strand of the discussion on semantics and its most recent developments and influence on other seemingly unrelated fields, such as Cognitive Linguistics.
This book focuses on an overview of the AI techniques, their foundations, their applications, and remaining challenges and open problems. Many artificial intelligence (AI) techniques do not explain their recommendations. Providing natural-language explanations for numerical AI recommendations is one of the main challenges of modern AI. To provide such explanations, a natural idea is to use techniques specifically designed to relate numerical recommendations and natural-language descriptions, namely fuzzy techniques.
This book is of interest to practitioners who want to use fuzzy techniques to make AI applications explainable, to researchers who may want to extend the ideas from these papers to new application areas, and to graduate students who are interested in the state-of-the-art of fuzzy techniques and of explainable AI--in short, to anyone who is interested in problems involving fuzziness and AI in general.
Автор: Hunter Cindy, Moen Julia, Raskin Miriam Название: Social Work Field Directors: Foundations for Excellence ISBN: 0190656441 ISBN-13(EAN): 9780190656447 Издательство: Oxford Academ Цена: 119550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Professors Hunter, Moen, and Raskin present scholarship from experts to shape field policies and curricula in the revised edition of Social Work Field Directors: Foundations for Excellence. The work of each contributing author sets standards for program quality and student competence, and makes clear the need to incorporate community practice experience with social work program education. This book is a resource that provides in-depth knowledge to help new and experienced field directors develop, execute, maintain, and evaluate field education programs. It illustrates how the signature pedagogy of social work education promotes sustainable changes to improve the quality of existing field programs.
Автор: J.W.de Bakker; W.-P.de Roever; G. Rozenberg Название: Semantics: Foundations and Applications ISBN: 3540565965 ISBN-13(EAN): 9783540565963 Издательство: Springer Рейтинг: Цена: 107130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume is based on a workshop on the semantics of programming languages held in The Netherlands in June 1992. A wide range of topics in foundations and applications are covered. The workshop was an activity of the Netherlands NFI project REX.
Автор: Staartjes Victor E., Regli Luca, Serra Carlo Название: Machine Learning in Clinical Neuroscience: Foundations and Clinical Applications ISBN: 3030852911 ISBN-13(EAN): 9783030852917 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book bridges the gap between data scientists and clinicians by introducing all relevant aspects of machine learning in an accessible way, and will certainly foster new and serendipitous applications of machine learning in the clinical neurosciences. Building from the ground up by communicating the foundational knowledge and intuitions first before progressing to more advanced and specific topics, the book is well-suited even for clinicians without prior machine learning experience. Authored by a wide array of experienced global machine learning groups, the book is aimed at clinicians who are interested in mastering the basics of machine learning and who wish to get started with their own machine learning research. The volume is structured in two major parts: The first uniquely introduces all major concepts in clinical machine learning from the ground up, and includes step-by-step instructions on how to correctly develop and validate clinical prediction models. It also includes methodological and conceptual foundations of other applications of machine learning in clinical neuroscience, such as applications of machine learning to neuroimaging, natural language processing, and time series analysis. The second part provides an overview of some state-of-the-art applications of these methodologies. The Machine Intelligence in Clinical Neuroscience (MICN) Laboratory at the Department of Neurosurgery of the University Hospital Zurich studies clinical applications of machine intelligence to improve patient care in clinical neuroscience. The group focuses on diagnostic, prognostic and predictive analytics that aid in decision-making by increasing objectivity and transparency to patients. Other major interests of our group members are in medical imaging, and intraoperative applications of machine vision.
Автор: Goldberg Sanford C. Название: Foundations and Applications of Social Epistemology: Collected Essays ISBN: 019885644X ISBN-13(EAN): 9780198856443 Издательство: Oxford Academ Рейтинг: Цена: 145610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume collects twelve essays by Sanford C. Goldberg on the topic of social epistemology. The first half develops a proposal for a programme for social epistemology; the second focuses on applications of this programme to topics like testimony, inquiry, and epistemic aspects of social norms.
Автор: Nayyar Anand, Kumar Sandeep, Agrawal Akshat Название: Applications of Computational Science in Artificial Intelligence ISBN: 1799890139 ISBN-13(EAN): 9781799890133 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 206050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Delivers technological solutions to improve smart technologies architecture, healthcare, and environmental sustainability. The book also provides background on key aspects such as computational solutions, computation framework, smart prediction, and healthcare solutions.
Название: Research Anthology on Artificial Neural Network Applications ISBN: 1668424088 ISBN-13(EAN): 9781668424087 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 1267730.00 T Наличие на складе: Нет в наличии. Описание: Covers critical topics related to artificial neural networks and their multitude of applications in a number of diverse areas, including medicine, finance, operations research, business, social media, security, and more. The book covers everything from the applications and uses of artificial neural networks to deep learning and non-linear problems.
Автор: Moises Rivas-Lopez, Oleg Sergiyenko, Wendy Flores-Fuentes, Julio Cesar Rodriguez-Quinonez Название: Optoelectronics in Machine Vision-Based Theories and Applications ISBN: 1522557512 ISBN-13(EAN): 9781522557517 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 188100.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Sensor technologies play a large part in modern life, as they are present in things like security systems, digital cameras, smartphones, and motion sensors. While these devices are always evolving, research is being done to further develop this technology to help detect and analyze threats, perform in-depth inspections, and perform tracking services.Optoelectronics in Machine Vision-Based Theories and Applications provides innovative insights on theories and applications of optoelectronics in machine vision-based systems. It also covers topics such as applications of unmanned aerial vehicle, autonomous and mobile robots, medical scanning, industrial applications, agriculture, and structural health monitoring. This publication is a vital reference source for engineers, technology developers, academicians, researchers, and advanced-level students seeking emerging research on sensor technologies and machine vision.
Автор: Shanthamallu Uday Shankar, Spanias Andreas Название: Machine and Deep Learning Algorithms and Applications ISBN: 1636392652 ISBN-13(EAN): 9781636392653 Издательство: Mare Nostrum (Eurospan) Цена: 53590.00 T Наличие на складе: Нет в наличии. Описание:
This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners. We begin by describing how machine learning provides capabilities to computers and embedded systems to learn from data. A typical machine learning algorithm involves training, and generally the performance of a machine learning model improves with more training data. Deep learning is a sub-area of machine learning that involves extensive use of layers of artificial neural networks typically trained on massive amounts of data. Machine and deep learning methods are often used in contemporary data science tasks to address the growing data sets and detect, cluster, and classify data patterns. Although machine learning commercial interest has grown relatively recently, the roots of machine learning go back to decades ago. We note that nearly all organizations, including industry, government, defense, and health, are using machine learning to address a variety of needs and applications.
The machine learning paradigms presented can be broadly divided into the following three categories: supervised learning, unsupervised learning, and semi-supervised learning. Supervised learning algorithms focus on learning a mapping function, and they are trained with supervision on labeled data. Supervised learning is further sub-divided into classification and regression algorithms. Unsupervised learning typically does not have access to ground truth, and often the goal is to learn or uncover the hidden pattern in the data. Through semi-supervised learning, one can effectively utilize a large volume of unlabeled data and a limited amount of labeled data to improve machine learning model performances. Deep learning and neural networks are also covered in this book. Deep neural networks have attracted a lot of interest during the last ten years due to the availability of graphics processing units (GPU) computational power, big data, and new software platforms. They have strong capabilities in terms of learning complex mapping functions for different types of data. We organize the book as follows. The book starts by introducing concepts in supervised, unsupervised, and semi-supervised learning. Several algorithms and their inner workings are presented within these three categories. We then continue with a brief introduction to artificial neural network algorithms and their properties. In addition, we cover an array of applications and provide extensive bibliography. The book ends with a summary of the key machine learning concepts.
Автор: Alexander Chudik, Allan Timmermann, Cheng Hsiao Название: Essays in Honor of M. Hashem Pesaran: Panel Modeling, Micro Applications, and Econometric Methodology ISBN: 1802620664 ISBN-13(EAN): 9781802620665 Издательство: Emerald Рейтинг: Цена: 128730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The collection of chapters in Volume 43 Part B of Advances in Econometrics serves as a tribute to one of the most innovative, influential, and productive econometricians of his generation, Professor M. Hashem Pesaran.
Автор: Amit Sheth, Krishnaprasad Thirunarayan Название: Semantics Empowered Web 3.0: Managing Enterprise, Social, Sensor, and Cloud-based Data and Services for Advanced Applications ISBN: 1608457168 ISBN-13(EAN): 9781608457168 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 41580.00 T Наличие на складе: Невозможна поставка. Описание: Presents a unified approach to harness and exploit all forms of contemporary Web resources using the core principles of ability to associate meaning with data through conceptual or domain models and semantic descriptions, including annotations, and through advanced semantic techniques for search, integration, and analysis.
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