Описание: "This revised second edition of Monetary Policy, Inflation, and the Business Cycle provides a rigorous graduate-level introduction to the New Keynesian framework and its applications to monetary policy. The New Keynesian framework is the workhorse for the analysis of monetary policy and its implications for inflation, economic fluctuations, and welfare. A backbone of the new generation of medium-scale models under development at major central banks and international policy institutions, the framework provides the theoretical underpinnings for the price stability-oriented strategies adopted by most central banks in the industrialized world. Using a canonical version of the New Keynesian model as a reference, Jordi Gali explores various issues pertaining to monetary policy`s design, including optimal monetary policy and the desirability of simple policy rules. He analyzes several extensions of the baseline model, allowing for cost-push shocks, nominal wage rigidities, and open economy factors. In each case, the effects for monetary policy are addressed, with emphasis on the desirability of inflation-targeting policies. New material includes labor and financial market frictions, the zero lower bound on nominal interest rates, and an analysis of unemployment`s significance for monetary policy. The most up-to-date introduction to the New Keynesian framework available A single benchmark model used throughout New materials and exercises included An ideal resource for graduate students, researchers, and market analysts "--
Автор: Gilbert Strang Название: Linear Algebra and Its Applications, 4th Edition ISBN: 0030105676 ISBN-13(EAN): 9780030105678 Издательство: Cengage Learning Рейтинг: Цена: 18174.00 р. Наличие на складе: Поставка под заказ.
Описание: Demonstrates that linear algebra is a fascinating subject by showing both its beauty and value. This book explains concepts, rather than deduces.
The ubiquity of mobile devices has opened the way to extending learning environments far beyond the constraints of the traditional foreign language classroom. This book seeks to advance the knowledge about effective learning and teaching of English for Medical Purposes supported by mobile environments. The author investigates the effectiveness of the use of a mobile version of a flashcard spaced-repetition learning platform. In conclusion, she presents core principles of an educational solution that supports the ongoing and situated learning of English for Medical Purposes by designing a mobile spaced-repetition medical vocabulary tutor («Mobile Medical English Companion»).
Описание: Provides everything readers need to know for applying the power of informatics to materials science There is a tremendous interest in materials informatics and application of data mining to materials science. This book is a one-stop guide to the latest advances in these emerging fields. Bridging the gap between materials science and informatics, it introduces readers to up-to-date data mining and machine learning methods. It also provides an overview of state-of-the-art software and tools. Case studies illustrate the power of materials informatics in guiding the experimental discovery of new materials. Materials Informatics: Methods, Tools and Applications is presented in two parts?Methodological Aspects of Materials Informatics and Practical Aspects and Applications. The first part focuses on developments in software, databases, and high-throughput computational activities. Chapter topics include open quantum materials databases; the ICSD database; open crystallography databases; and more. The second addresses the latest developments in data mining and machine learning for materials science. Its chapters cover genetic algorithms and crystal structure prediction; MQSPR modeling in materials informatics; prediction of materials properties; amongst others. -Bridges the gap between materials science and informatics -Covers all the known methodologies and applications of materials informatics -Presents case studies that illustrate the power of materials informatics in guiding the experimental quest for new materials -Examines the state-of-the-art software and tools being used today Materials Informatics: Methods, Tools and Applications is a must-have resource for materials scientists, chemists, and engineers interested in the methods of materials informatics.
Автор: Ma Название: Manifold Learning Theory and Applications ISBN: 1439871094 ISBN-13(EAN): 9781439871096 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dimensional structures hidden in their high-dimensional observations. Manifold learning, a groundbreaking technique designed to tackle these issues of dimensionality reduction, finds widespread application in machine learning, neural networks, pattern recognition, image processing, and computer vision.
Filling a void in the literature, Manifold Learning Theory and Applications incorporates state-of-the-art techniques in manifold learning with a solid theoretical and practical treatment of the subject. Comprehensive in its coverage, this pioneering work explores this novel modality from algorithm creation to successful implementation--offering examples of applications in medical, biometrics, multimedia, and computer vision. Emphasizing implementation, it highlights the various permutations of manifold learning in industry including manifold optimization, large scale manifold learning, semidefinite programming for embedding, manifold models for signal acquisition, compression and processing, and multi scale manifold.
Beginning with an introduction to manifold learning theories and applications, the book includes discussions on the relevance to nonlinear dimensionality reduction, clustering, graph-based subspace learning, spectral learning and embedding, extensions, and multi-manifold modeling. It synergizes cross-domain knowledge for interdisciplinary instructions, offers a rich set of specialized topics contributed by expert professionals and researchers from a variety of fields. Finally, the book discusses specific algorithms and methodologies using case studies to apply manifold learning for real-world problems.
Описание: Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining presents novel algorithms for academic search, recommendation and association rule mining that have been developed and optimized for different commercial as well as academic purpose systems. Along with the design and implementation of algorithms, a major part of the work presented in the book involves the development of new systems both for commercial as well as for academic use. In the first part of the book the author introduces a novel hierarchical heuristic scheme for re-ranking academic publications retrieved from standard digital libraries. The scheme is based on the hierarchical combination of a custom implementation of the term frequency heuristic, a time-depreciated citation score and a graph-theoretic computed score that relates the paper’s index terms with each other. In order to evaluate the performance of the introduced algorithms, a meta-search engine has been designed and developed that submits user queries to standard digital repositories of academic publications and re-ranks the top-n results using the introduced hierarchical heuristic scheme. In the second part of the book the design of novel recommendation algorithms with application in different types of e-commerce systems are described. The newly introduced algorithms are a part of a developed Movie Recommendation system, the first such system to be commercially deployed in Greece by a major Triple Play services provider. The initial version of the system uses a novel hybrid recommender (user, item and content based) and provides daily recommendations to all active subscribers of the provider (currently more than 30,000). The recommenders that we are presenting are hybrid by nature, using an ensemble configuration of different content, user as well as item-based recommenders in order to provide more accurate recommendation results.The final part of the book presents the design of a quantitative association rule mining algorithm. Quantitative association rules refer to a special type of association rules of the form that antecedent implies consequent consisting of a set of numerical or quantitative attributes. The introduced mining algorithm processes a specific number of user histories in order to generate a set of association rules with a minimally required support and confidence value. The generated rules show strong relationships that exist between the consequent and the antecedent of each rule, representing different items that have been consumed at specific price levels. This research book will be of appeal to researchers, graduate students, professionals, engineers and computer programmers.
Автор: Gunter Wallner Название: Data Analytics Applications in Gaming and Entertainment ISBN: 1138104434 ISBN-13(EAN): 9781138104433 Издательство: Taylor&Francis Рейтинг: Цена: 16078.00 р. Наличие на складе: Нет в наличии.
Описание: Over the last decade big data and data mining has received growing interest and importance in game production to process and draw actionable insights from large volumes of player-related data in order to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation.
Автор: Pradeep Kumar, Arvind Tiwari Название: Ubiquitous Machine Learning and Its Applications ISBN: 1522525459 ISBN-13(EAN): 9781522525455 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 27027.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents latest research on the issues and challenges machines face in the new millennium. Featuring extensive coverage on relevant areas such as computational advertising, software engineering, and bioinformatics, this publication is an ideal resource for academics, graduate students, engineering professionals, and researchers.
This book provides comprehensive coverage of all major gyrator circuits, simulated inductors and related synthetic impedances. The book offers a thorough review of research in this field, and includes an exceptionally wide range and number of circuit examples. Written by two experts known internationally for their contributions to analogue circuit design, this title covers a broad variety of active devices ranging from bipolar and MOS transistors to the ubiquitous IC op-amps and operational transconductance amplifiers, plus other modern electronic circuits.
Автор: S. Sumathi; S.N. Sivanandam Название: Introduction to Data Mining and its Applications ISBN: 3662500809 ISBN-13(EAN): 9783662500804 Издательство: Springer Рейтинг: Цена: 41787.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining.
Автор: Li Xiaoli Et Al Название: Biological Data Mining And Its Applications In Healthcare ISBN: 9814551007 ISBN-13(EAN): 9789814551007 Издательство: World Scientific Publishing Цена: 22176.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Biologists are stepping up their efforts in understanding the biological processes that underlie disease pathways in the clinical contexts. This has resulted in a flood of biological and clinical data from genomic and protein sequences, DNA microarrays, protein interactions, biomedical images, to disease pathways and electronic health records. To exploit these data for discovering new knowledge that can be translated into clinical applications, there are fundamental data analysis difficulties that have to be overcome. Practical issues such as handling noisy and incomplete data, processing compute-intensive tasks, and integrating various data sources, are new challenges faced by biologists in the post-genome era. This book will cover the fundamentals of state-of-the-art data mining techniques which have been designed to handle such challenging data analysis problems, and demonstrate with real applications how biologists and clinical scientists can employ data mining to enable them to make meaningful observations and discoveries from a wide array of heterogeneous data from molecular biology to pharmaceutical and clinical domains.
Автор: Kenneth B Kelch Название: CALL theory applications for online TESOL education / ISBN: 1799866106 ISBN-13(EAN): 9781799866107 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 23978.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With the increased necessity of using online teaching to ensure students continue to learn, it is imperative that language teachers implement computer-assisted language learning (CALL) techniques into their teaching strategies. TESOL teachers especially must continue to remain up to date on the latest research outlining best practices for the online teaching of English language learners.
CALL Theory Applications for Online TESOL Education is a crucial reference work that focuses on online education and CALL in the context of teaching English to speakers of other languages. The book presents research that illustrates the current best practices in online CALL applications in TESOL including works on emerging applications such as mobile language learning, games, and service-learning. It includes chapters that focus on technology-enhanced learning in a variety of configurations, from fully online contexts to face-to-face blended learning contexts that have some degree of a virtual component. While highlighting topics that include e-learning, second language acquisition, and virtual learning environments, this book is ideal for TESOL educators and CALL practitioners who are interested in the ways in which language and culture are impacted by online education. Moreover, K-12 teachers and teacher educators working with linguistically and culturally diverse learners in their classes and communities, as well as administrators, academicians, researchers, and students will benefit from the research contained in this book.
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