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Begründung der Lehre vom Polyederinhalt (Mathematische Annalen #82)

Dieser Buchtitel ist Teil des Digitalisierungsprojekts Springer Book Archives mit Publikationen, die seit den Anfängen des Verlags von 1842 erschienen sind. Der Verlag stellt mit diesem Archiv Quellen für die historische wie auch die disziplingeschichtliche Forschung zur Verfügung, die jeweils im historischen Kontext betrachtet werden müssen. Dieser Titel erschien in der Zeit vor 1945 und wird daher in seiner zeittypischen politisch-ideologischen Ausrichtung vom Verlag nicht beworben.

Begründungsprozesse im Kontext von: Wissensentwicklung auf der Grundlage empirischer Settings (MINTUS – Beiträge zur mathematisch-naturwissenschaftlichen Bildung)

Das vorliegende Buch beschäftigt sich mit Begründungsprozessen von Schüler*innen auf der Grundlage empirischer Settings. Hierunter werden Lernumgebungen verstanden, in denen empirische Objekte im Sinne des wissenschaftstheoretischen Strukturalismus eine bedeutende Rolle spielen. Zu diesem Zweck wird ein theoretisches Modell entwickelt (CSC-Modell) und in Fallstudien zur Beschreibung von Lernprozessen von Schüler*innen mit verschiedenen (digitalen) Medien angewendet.

Behavior Analysis with Machine Learning Using R (Chapman & Hall/CRC The R Series)

Behavior Analysis with Machine Learning Using R introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems. It focuses on the practical aspects of solving such problems based on data collected from sensors or stored in electronic records. The included examples demonstrate how to perform common data analysis tasks such as: data exploration, visualization, preprocessing, data representation, model training and evaluation. All of this, using the R programming language and real-life behavioral data. Even though the examples focus on behavior analysis tasks, the covered underlying concepts and methods can be applied in any other domain. No prior knowledge in machine learning is assumed. Basic experience with R and basic knowledge in statistics and high school level mathematics are beneficial. Features: Build supervised machine learning models to predict indoor locations based on WiFi signals, recognize physical activities from smartphone sensors and 3D skeleton data, detect hand gestures from accelerometer signals, and so on. Program your own ensemble learning methods and use Multi-View Stacking to fuse signals from heterogeneous data sources. Use unsupervised learning algorithms to discover criminal behavioral patterns. Build deep learning neural networks with TensorFlow and Keras to classify muscle activity from electromyography signals and Convolutional Neural Networks to detect smiles in images. Evaluate the performance of your models in traditional and multi-user settings. Build anomaly detection models such as Isolation Forests and autoencoders to detect abnormal fish behaviors. This book is intended for undergraduate/graduate students and researchers from ubiquitous computing, behavioral ecology, psychology, e-health, and other disciplines who want to learn the basics of machine learning and deep learning and for the more experienced individuals who want to apply machine learning to analyze behavioral data.

Behavior Analysis with Machine Learning Using R (Chapman & Hall/CRC The R Series)

Behavior Analysis with Machine Learning Using R introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems. It focuses on the practical aspects of solving such problems based on data collected from sensors or stored in electronic records. The included examples demonstrate how to perform common data analysis tasks such as: data exploration, visualization, preprocessing, data representation, model training and evaluation. All of this, using the R programming language and real-life behavioral data. Even though the examples focus on behavior analysis tasks, the covered underlying concepts and methods can be applied in any other domain. No prior knowledge in machine learning is assumed. Basic experience with R and basic knowledge in statistics and high school level mathematics are beneficial. Features: Build supervised machine learning models to predict indoor locations based on WiFi signals, recognize physical activities from smartphone sensors and 3D skeleton data, detect hand gestures from accelerometer signals, and so on. Program your own ensemble learning methods and use Multi-View Stacking to fuse signals from heterogeneous data sources. Use unsupervised learning algorithms to discover criminal behavioral patterns. Build deep learning neural networks with TensorFlow and Keras to classify muscle activity from electromyography signals and Convolutional Neural Networks to detect smiles in images. Evaluate the performance of your models in traditional and multi-user settings. Build anomaly detection models such as Isolation Forests and autoencoders to detect abnormal fish behaviors. This book is intended for undergraduate/graduate students and researchers from ubiquitous computing, behavioral ecology, psychology, e-health, and other disciplines who want to learn the basics of machine learning and deep learning and for the more experienced individuals who want to apply machine learning to analyze behavioral data.

Behavior and Evolutionary Dynamics in Crowd Networks: An Evolutionary Game Approach (Lecture Notes in Social Networks)

This book offers a holistic framework to study behavior and evolutionary dynamics in large-scale, decentralized, and heterogeneous crowd networks. In the emerging crowd cyber-ecosystems, millions of deeply connected individuals, smart devices, government agencies, and enterprises actively interact with each other and influence each other’s decisions. It is crucial to understand such intelligent entities’ behaviors and to study their strategic interactions in order to provide important guidelines on the design of reliable networks capable of predicting and preventing detrimental events with negative impacts on our society and economy.This book reviews the fundamental methodologies to study user interactions and evolutionary dynamics in crowd networks and discusses recent advances in this emerging interdisciplinary research field. Using information diffusion over social networks as an example, it presents a thorough investigation of the impact of user behavior on the network evolution process and demonstrates how this can help improve network performance.Intended for graduate students and researchers from various disciplines, including but not limited to, data science, networking, signal processing, complex systems, and economics, the book encourages researchers in related research fields to explore the many untouched areas in this domain, and ultimately to design crowd networks with efficient, effective, and reliable services.

Behavior Engineering and Applications (International Series on Computer Entertainment and Media Technology)

Many industrial applications built today are increasingly using emerging behavior engineering technologies: this book looks at various research and practical issues for researchers and students working in computer science and engineering, and for industry technology providers interested in behavior engineering and applications. Behavior Engineering and Applications encompasses intelligent and efficient computational solutions, including models, architectures, algorithms and specific applications, focused on processing, discovering, understanding and analyzing the behavior captured by the above data. Focusing on applying any engineering paradigm to systemically process, discover, understand and analyze these data, this book also addresses problems in a variety of areas and applications that related to behavior engineering.This book includes chapters derived from selected papers from The 2016 International Conference on Behavior Engineering (ICBE), as well as separate contributions the editors selected cutting-edge research related to behavior engineering.

Behavioral Analytics in Social and Ubiquitous Environments: 6th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2015, Porto, Portugal, September 7, 2015; 6th International Workshop on Modeling Social Media, MSM 2015, Florence, Italy, May 19, 2015; 7th International Workshop on Modeling Social Media, MSM 2016, Montreal, QC, Canada, April 12, 2016; Revised Selected Papers (Lecture Notes in Computer Science #11406)

The 7 papers presented in this book are revised and significantly extended versions of papers submitted to three related workshops: 6th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2015, held in Porto, Portugal, September 2015, in conjunction with the 6th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2015; 6th International Workshop on Modeling Social Media, MSM 2015, held in Florence, Italy, May 2015, in conjunction with the 24th International World Wide Web Conference, WWW 2015; 7th International Workshop on Modeling Social Media, MSM 2016, Montreal, QC, Canada, April 2016, in conjunction with the 25th International World Wide Web Conference, WWW 2016.

The Behavioral and Welfare Analysis of Consumption: The Cost of Children, Equity and Poverty in Colombia

The motive force of human activity that propels the stream of progress is here caught at its source, in its most modest, material expressions. The mechanism of the passions acting as determinant in these low spheres is less complex and can therefore be observed with greater precision. All one need do is leave the picture its clear, calm colors and its simple design. Gradually, as that search for material well-being by which man is tormented grows and expand, it also tends to rise and pursue an ascendant course thorough the social classes. In 'I Malavoglia' it is still only the struggle for material needs. Once these needs are satisfied, the search turns into greed for riches and will be embedded in a bourgeois type . . . Giovanni Verga, from the Introduction to The House by the Medlar Tree (I Malavoglia) Motivation In the past decade, many less developed countries have undertaken structural adjustment programs with the hope of breaking the vicious circle of the depression that enveloped them during the 1980s and of loosening the suffocating grip of the debt crisis. Nearly always, macroeconomic stabilization implies a reduction of public spending and, consequently, a reduction of subsidies on wage goods and food production. Other macro policies, such as tariff elimination and exchange rates alignment, alter relative prices and may have significant effects on the level and distribution of income. Today, poverty and inequality are perceived as economic threats as a result of globalization and unbalanced market expansion.

A Behavioral Approach to Asset Pricing (Academic Press Advanced Finance)

A Behavioral Approach to Asset Pricing Theory examines the reigning assumptions of asset pricing theory and reconstructs them to incorporate findings from behavioral finance. It constructs a solid, intact structure that challenges classic assumptions and at the same time provides a strong theory and efficient empirical tools. Building on the models developed by both traditional asset pricing theorists and behavioral asset pricing theorists, this book takes the discussion to the next step. The author provides a general behaviorally based intertemporal treatment of asset pricing theory that extends to the discussion of derivatives, fixed income securities, mean-variance efficient portfolios, and the market portfolio.The book develops a series of examples to illustrate the theoretical results. The CD-ROM contains most of the examples, worked out as Excel spreadsheets, so that a diligent reader can follow them through.Instructors might also want to use the examples to assign class exercises, asking students to modify the numbers and see what happens.* The first book to focus completely on how behavioral finance principles affect asset pricing* Hersh Shefrin is a recognized expert in behavioral finance* Behavioral finance is a growth area in finance scholarship and moving more and more into practice

Behavioral Computational Social Science (Wiley Series in Computational and Quantitative Social Science)

This book is organized in two parts: the first part introduces the reader to all the concepts, tools and references that are required to start conducting research in behavioral computational social science. The methodological reasons for integrating the two approaches are also presented from the individual and separated viewpoints of the two approaches.The second part of the book, presents all the advanced methodological and technical aspects that are relevant for the proposed integration. Several contributions which effectively merge the computational and the behavioral approaches are presented and discussed throughout

Behavioral Computational Social Science (Wiley Series in Computational and Quantitative Social Science)

This book is organized in two parts: the first part introduces the reader to all the concepts, tools and references that are required to start conducting research in behavioral computational social science. The methodological reasons for integrating the two approaches are also presented from the individual and separated viewpoints of the two approaches.The second part of the book, presents all the advanced methodological and technical aspects that are relevant for the proposed integration. Several contributions which effectively merge the computational and the behavioral approaches are presented and discussed throughout

Behavioral Research and Analysis: An Introduction to Statistics within the Context of Experimental Design, Fourth Edition

Now in its fourth edition, Behavioral Research and Analysis: An Introduction to Statistics within the Context of Experimental Design presents an overview of statistical methods within the context of experimental design. It covers fundamental topics such as data collection, data analysis, interpretation of results, and communication of findings

Behavioral Research Data Analysis with R (Use R!)

This book is written for behavioral scientists who want to consider adding R to their existing set of statistical tools, or want to switch to R as their main computation tool. The authors aim primarily to help practitioners of behavioral research make the transition to R. The focus is to provide practical advice on some of the widely-used statistical methods in behavioral research, using a set of notes and annotated examples. The book will also help beginners learn more about statistics and behavioral research. These are statistical techniques used by psychologists who do research on human subjects, but of course they are also relevant to researchers in others fields that do similar kinds of research. The authors emphasize practical data analytic skills so that they can be quickly incorporated into readers’ own research.

Behavioural Economics of Climate Change: New Empirical Perspectives (Springerbriefs In Climate Studies)

This book investigates various kinds of climate change mitigation behaviour, which range from a general support of environmental policy to concrete energy-saving activities, in selected countries. Drawing on extensive national and international survey data, the analysis has the following main objectives: to identify potential determinants of individuals’ renewable energy support, and to analyse the impact of experiences with natural disasters on individuals’ choice between economic growth and environmental protection. Moreover, it examines the role of environmental motivations behind direct daily energy-saving behaviour. The empirical results reveal that various types of climate change mitigation behaviour are not only driven by a mixture of environmental and non-environmental/economic motivations but also depend on external circumstances such as natural disasters. Since CO2 emission dynamics stem to some extent from the choices people make every day in their roles as consumers, investors and citizens, the new findings presented are also valuable from a policy perspective.

Behavioural Mechanisms of Food Selection (Nato ASI Subseries G: #20)

Behavioural Mechanisms of Food Selection examines animals belonging to diverse trophic groups, from carnivores, herbivores, micro-algal grazers, to filter-feeders and detritus-feeders. In the past Optimal Foraging Theory has been applied to all these groups, but in different ways and in disci plines that rarely overlap. Here concepts and developments hitherto scattered in the literature are drawn together. This uniquely broad synthesis captures the state of the art in the study of diet selection and prescribes new objectives in theoretical development and research.

Beihefte zu den Jahrbüchern der Zentralanstalt für Meteorologie und Geodynamik: Viertes Heft der Reihe Beiheft zu Jahrgang 1931 der Jahrbücher (pdf)

Beijing Lectures in Harmonic Analysis. (AM-112), Volume 112 (PDF)

Based on seven lecture series given by leading experts at a summer school at Peking University, in Beijing, in 1984. this book surveys recent developments in the areas of harmonic analysis most closely related to the theory of singular integrals, real-variable methods, and applications to several complex variables and partial differential equations. The different lecture series are closely interrelated; each contains a substantial amount of background material, as well as new results not previously published. The contributors to the volume are R. R. Coifman and Yves Meyer, Robert Fcfferman, Carlos K. Kenig, Steven G. Krantz, Alexander Nagel, E. M. Stein, and Stephen Wainger.

Being Young in Super-Aging Japan: Formative Events and Cultural Reactions (Routledge Contemporary Japan Series)

Japan is not only the oldest society in the world today, but also the oldest society to have ever existed. This aging trend, however, presents many challenges to contemporary Japan, as it permeates all areas of life, from the economy and welfare to social cohesion and population decline. Nobody is more affected by these changes than the young generation. This book studies Japanese youth in the aging society in detail. It analyses formative events and cultural reactions. Themes include employment, parenthood, sexuality, but also art, literature and language, thus demonstrating how the younger generation can provide insights into the future of Japanese society more generally. This book argues that the prolonged crisis resulted in a commonly shared destabilization of thoughts and attitudes and that this has shaped a new generation that is unlike any other in post-war Japan. Presenting an inter-disciplinary approach to the study of the aging trend and what it implies for young Japanese, this book will be useful to students and scholars of Japanese culture and society, as well cultural anthropology and demography.

Being Young in Super-Aging Japan: Formative Events and Cultural Reactions (Routledge Contemporary Japan Series)

Japan is not only the oldest society in the world today, but also the oldest society to have ever existed. This aging trend, however, presents many challenges to contemporary Japan, as it permeates all areas of life, from the economy and welfare to social cohesion and population decline. Nobody is more affected by these changes than the young generation. This book studies Japanese youth in the aging society in detail. It analyses formative events and cultural reactions. Themes include employment, parenthood, sexuality, but also art, literature and language, thus demonstrating how the younger generation can provide insights into the future of Japanese society more generally. This book argues that the prolonged crisis resulted in a commonly shared destabilization of thoughts and attitudes and that this has shaped a new generation that is unlike any other in post-war Japan. Presenting an inter-disciplinary approach to the study of the aging trend and what it implies for young Japanese, this book will be useful to students and scholars of Japanese culture and society, as well cultural anthropology and demography.

Beispiele und Aufgaben zur Laplace-Transformation

Die Anwendung der Laplace-Transformation in den Naturwissenschaften und der Technik gewinnt ständig an Bedeutung. Dies führt zwangsläufig dazu, daß diese Methode in die Stoffpläne für Mathematik der meisten Fachrichtungen an Technischen Hochschulen und Fachhochschulen aufgenommen werden wird. Im Hinblick auf ihre Verwendung in anderen Fächern, erscheint es sinnvoll, mit dem Studium möglichst früh zu beginnen, spätestens jedoch im dritten Semester. Dies wiederum bedingt, daß nur Kenntnisse vorausgesetzt werden können, die im ersten und zweiten Semester vermittelt wurden. Unter diesem Gesichtspunkt ist dieses Arbeits- und übungsbuch entstanden. Es soll dem Studenten vom dritten Semester aufwärts ermöglichen, so weit in die Theorie und Praxis der Laplace-Transformation vorzudringen, daß er gewöhnliche Differentialgleichungen mit konstanten Koeffizienten und Differentialgleichungssysteme, wie sie bei der Behandlung von Schwingungsproblemen auftreten, selbständig lösen kann. Darüberhinaus soll der Stu­ dent in die Lage versetzt werden, mit fortschreitender Kenntnis in der Mathematik, weiter­ führende Werke über die Theorie der Laplace-Transformation zu lesen. Das Buch ist folgendermaßen aufgebaut: Im ersten Kapitel werden in zahlreichen Beispielen Funktionen in den Bildraum transfor­ miert, um den Leser mit dem Umgang mit Laplace -Transformierten vertraut zu machen. Im zweiten Kapitel werden die Eigenschaften der Laplace-Transformation untersucht. Im dritten Kapitel wird die Laplace-Transformation zur Lösung von Differentialgleichun­ gen benutzt. Im vierten Kapitel steht die Anwendung auf technische Probleme im Vordergrund. Alle Beispiele im Text sind ausflihrlich durchgerechnet. Am Schluß jeden Kapitels sind Aufgaben gestellt, deren Lösungen im Anhang angegeben werden, so daß der Leser über­ prüfen kann, ob er den Inhalt des Kapitels verstanden hat.

Beitrag zur Theorie und Untersuchung der Ferrarismessgeräte

Dieser Buchtitel ist Teil des Digitalisierungsprojekts Springer Book Archives mit Publikationen, die seit den Anfängen des Verlags von 1842 erschienen sind. Der Verlag stellt mit diesem Archiv Quellen für die historische wie auch die disziplingeschichtliche Forschung zur Verfügung, die jeweils im historischen Kontext betrachtet werden müssen. Dieser Titel erschien in der Zeit vor 1945 und wird daher in seiner zeittypischen politisch-ideologischen Ausrichtung vom Verlag nicht beworben.

Beitrag zur Wiederherstellung des trigonometrischen Festpunktfeldes in geschlossenen, umfangreichen Bergbaugebieten (Forschungsberichte des Landes Nordrhein-Westfalen #1189)

Beiträge zu Gegenwartsproblemen der Angewandten Statistik: Festgabe für Professor Dr. Jakob Breuer. Universität Köln

Am 9. März 1960 vollendet Dr. rer. pol. Jakob Breuer, emeritierter ordentlicher Professor für Statistik an der Universität Köln, sein 70. Lebensjahr. Seine Freunde und Schüler widmen ihm zu diesem Anlaß, wie es auch zur Vollendung seines 65. Lebensjahres geschah, als Ausdruck ihrer Verehrung diese Festschrift. Das Thema der vorliegenden Festschrift ist enger gefaßt als das der voran­ gegangenen. Dort war es das Ziel, die Fülle der Anregungen, die seine Schüler von ihm empfingen, durch wissenschaftliche Beiträge zu den verschiedensten Problemen deutlich zu machen. Sie enthält auch den wissenschaftlichen Lebens­ weg und ein Verzeichnis der Publikationen von Professor Breuer. In diese Festschrift wurden nur Beiträge zu Gegenwartsproblemen der Angewandten Statistik aufgenommen. Es war nicht immer einfach, die Auswahl zu treffen und eine Grenze, die in Wirklichkeit wegen der ständigen Wechsel­ beziehung nicht besteht, zwischen Problemen der Angewandten und Theoreti­ schen Statistik auf der einen und Problemen des jeweiligen Sachgebietes auf der anderen Seite zu ziehen. Die Beiträge, die verschiedenste Themen behandeln, können wiederum nur versuchen, die vielseitigen Anregungen, die Professor Breuer seinen Schülern und Freunden aus seiner wissenschaftlichen Arbeit gab, deutlich zu machen. Selbstverständlich ist es, daß die Verfasser allein für den Inhalt ihrer Aufsätze verantwortlich sind.

Beiträge zur Algebra und Geometrie 1

Beiträge zur Geldtheorie: von Marco Fanno, Marius W. Holtrop, Johan G. Koopmans, Gunar Myrdal, Knut Wicksell (Meilensteine der Nationalökonomie)

1933 gab Friedrich A. Hayek erstmals diesen Band heraus, in dem er eine Reihe von Beiträgen zur Geldtheorie zusammenstellte. Die Autoren gelten aus heutiger Sicht als die Wegbereiter der modernen Geldtheorie. Für diese Ausgabe wurden die Beiträge von Knut Wicksell, Gunar Myrdal, Johan G. Koopmans, Marius W. Holtrup und Marco Fanno eigens ins Deutsche übersetzt. Das Vorwort von Hayek setzt die Beiträge in einen Zusammenhang.