Talks about Logic Programming, Uncertainty Reasoning and Machine Learning. This book includes definitions that circumscribe the area formed by extending Inductive Logic Programming to cases annotated with probability values. It investigates the approach of Learning from proofs and the issue of upgrading Fisher Kernels to Relational Fisher Kernels.
As disputes concerning the environment, the economy, and pandemics occupy public debate, we need to learn to navigate matters of public concern when facts are in doubt and expertise is contested. Controversy Mapping is the first book to introduce readers to the observation and representation of contested issues on digital media. Drawing on actor-network theory and digital methods, Venturini and Munk outline the conceptual underpinnings and the many tools and techniques of controversy mapping. They review its history in science and technology studies, discuss its methodological potential, and unfold its political implications. Through a range of cases and examples, they demonstrate how to chart actors and issues using digital fieldwork and computational techniques. A preface by Richard Rogers and an interview with Bruno Latour are also included. A crucial field guide and hands-on companion for the digital age, Controversy Mapping is an indispensable resource for students and scholars of media and communication, as well as activists, journalists, citizens, and decision makers.
At the height of the Cold War, the United States Army secretly began work on a base embedded deep in the Greenland ice cap: Camp Century. Officially defined as a scientific research station, this facility had an undisclosed purpose: to aim up to 600 nuclear warheads, buried in the ice, at the Soviet Union. In 1966, just six years after the camp was established, the United States gave up this provocative strategy and abandoned the base. Despite its brief life, Camp Century has been the cause of controversies from diplomatic relations between the United States and its Arctic allies, Denmark and Greenland, to the risks of radioactive waste abandoned at the site. This book is the first comprehensive account of the U.S. Army’s “city under the ice.” Beginning with the Truman administration’s vision of military superiority in the Arctic and continuing through present-day concerns over the effects of climate change, Kristian H. Nielsen and Henry Nielsen unravel the extraordinary history of this clandestine installation. Drawing on sources including top-secret memos and never-before-seen photographic evidence, they follow the intertwining threads of high-level politics, ice-core research, media representations, daily life beneath the ice, and the specter of long-buried environmental problems that will one day resurface. Camp Century reveals a hidden chapter of Cold War history—and why, as the Greenland ice cap slowly melts, this story is not yet over.
Live, Die, Buy, Eat. These words represent a chain of events which today is disconnected. In the past few years, controversies around meat have arisen around industrialization and globalization of meat production, often pivoting around health, environmental issues, and animal welfare. Although meat increasingly figures as a problem, most consumers’ knowledge of animal husbandry and meat production is more absent than ever. Tracing a historical process of alienation along three distinct axes, the authors show how the animal origin of meat is covered up, rationalized, forgotten, excused, neglected, and denied. How is meat produced today, and where? How do we consume meat, and how have our consumption habits changed? Why have these changes occurred, and what are the social and cultural consequences of these changes? Using Norway as a case study, this book examines the dramatic changes in meat production and consumption over the last 150 years. With a wide range of historical sources, together with interviews and observation at farms, slaughterhouses, and production units, as well as analyses of contemporary texts and digital sources, Live, Die, Buy, Eat explores the transformation of animal husbandry, meat production and consumption, together with its cultural consequences. It will appeal to scholars of anthropology, sociology, cultural studies, geography, and history with an interest in food, agriculture, environment, and culture.
The book is an advanced textbook and a reference text in functional analysis in the wide sense. It provides advanced undergraduate and graduate students with a coherent introduction to the field, i.e. the basic principles, and leads them to more demanding topics such as the spectral theorem, Choquet theory, interpolation theory, analysis of operator semigroups, Hilbert-Schmidt operators and Hille-Tamarkin operators, topological vector spaces and distribution theory, fundamental solutions, or the Schwartz kernel theorem.All topics are treated in great detail and the text provided is suitable for self-studying the subject. This is enhanced by more than 270 problems solved in detail. At the same time the book is a reference text for any working mathematician needing results from functional analysis, operator theory or the theory of distributions.Embedded as Volume V in the Course of Analysis, readers will have a self-contained treatment of a key area in modern mathematics. A detailed list of references invites to further studies.
This volume contains a reprint of the English translation (1843) by Sir George Webbe Dasent of Rask s "Anvising till Islandskan eller Nordiska Fornspraket" (1818). This re-edition, with an added bio-bibliography of Rask, should enable the linguist of today to obtain a fairly rounded picture of this important 19th-century scholar who, together with Bopp and Grimm, has justly been ranked among the founding fathers of the comparative-historical study of Indo-European languages.Rasmus Kristian Rask (1787 1832) did not occupy himself with historical linguistics alone as a comparativist, but also with language as a system based on a notion of structure comprised of three key ideas: the idea of wholeness, the idea of transformation (derivation and composition), and the idea of self-regulation. He formulated theoretical and practical premises for the composition of grammars, and in this he was far ahead of his time and in closer proximity to the linguistic concerns and problems of our era. From both theoretical and pedagogical points of view, Rask s grammar of Icelandic remains a most remarkable work.
This book reveals the core features of digital culture, examined by means of semiotic models and theories. It positions commercial and market principles in the center of the digital semiosphere, avoiding the need to force the new cultural reality into the established textualist or pragmatist paradigms. The theoretic insights and case studies presented here argue for new semiotic models of inquiry that include working with big data, user experience and nethnography, along with conventional approaches. The book develops a new concept of identity in the digital age, analyzing the digital flows of recognition and value, which led to the tremendous success of Social Media and the Web 2.0 era. Self-expression, entertainment and consumerism are seen as the major drivers of identity formation in the post-truth era, where the self can no longer be considered independently of a given person’s communication devices, where a substantial part of it is stored and actualized. It will be of interest to semioticians and researchers working on digital culture.
In the part on Fourier analysis, we discuss pointwise convergence results, summability methods and, of course, convergence in the quadratic mean of Fourier series. More advanced topics include a first discussion of Hardy spaces. We also spend some time handling general orthogonal series expansions, in particular, related to orthogonal polynomials. Then we switch to the Fourier integral, i.e. the Fourier transform in Schwartz space, as well as in some Lebesgue spaces or of measures.Our treatment of ordinary differential equations starts with a discussion of some classical methods to obtain explicit integrals, followed by the existence theorems of Picard-Lindelöf and Peano which are proved by fixed point arguments. Linear systems are treated in great detail and we start a first discussion on boundary value problems. In particular, we look at Sturm-Liouville problems and orthogonal expansions. We also handle the hypergeometric differential equations (using complex methods) and their relations to special functions in mathematical physics. Some qualitative aspects are treated too, e.g. stability results (Ljapunov functions), phase diagrams, or flows.Our introduction to the calculus of variations includes a discussion of the Euler-Lagrange equations, the Legendre theory of necessary and sufficient conditions, and aspects of the Hamilton-Jacobi theory. Related first order partial differential equations are treated in more detail.The text serves as a companion to lecture courses, and it is also suitable for self-study. The text is complemented by ca. 260 problems with detailed solutions.
Social Transformations in Archaeology explores the relevance of archaeology to the study of long-term change and to the understanding of our contemporary world. The articles are divided into: * broader theoretical issues * post-colonial issues in a wide range of contexts * archaeological examination of colonialism with case studies from the Mediterranean in the first millenium BC and historical Africa.
This SpringerBrief addresses the challenges of analyzing multi-relational and noisy data by proposing several Statistical Relational Learning (SRL) methods. These methods combine the expressiveness of first-order logic and the ability of probability theory to handle uncertainty. It provides an overview of the methods and the key assumptions that allow for adaptation to different models and real world applications. The models are highly attractive due to their compactness and comprehensibility but learning their structure is computationally intensive. To combat this problem, the authors review the use of functional gradients for boosting the structure and the parameters of statistical relational models. The algorithms have been applied successfully in several SRL settings and have been adapted to several real problems from Information extraction in text to medical problems. Including both context and well-tested applications, Boosting Statistical Relational Learning from Benchmarks to Data-Driven Medicine is designed for researchers and professionals in machine learning and data mining. Computer engineers or students interested in statistics, data management, or health informatics will also find this brief a valuable resource.
An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in the predicate calculus and its extensions. This book examines the foundations of combining logic and probability into what are called relational probabilistic models. It introduces representations, inference, and learning techniques for probability, logic, and their combinations. The book focuses on two representations in detail: Markov logic networks, a relational extension of undirected graphical models and weighted first-order predicate calculus formula, and Problog, a probabilistic extension of logic programs that can also be viewed as a Turing-complete relational extension of Bayesian networks.
The authors give many examples, illustrations and exercises to help students digest the theory and they employ use of clear and neat notation throughout. I really appreciate their selection of exercises, since many of the problems develop simple techniques to be used later in the book or make connections of analysis with other parts of mathematics. There are also solutions to all of the exercises in the back of the book. As in the first volume there are some real gems in volume II. A Course in Analysis seems to be full of these little gems where the authors use the material or ask the readers to use the material to obtain results or examples that the reader will certainly see again in another context later in their studies of mathematics. Generally, the quality of exposition in both of the first two volumes is very high. I recommend these books.' (See Full Review)MAA ReviewsThis is the second volume of 'A Course in Analysis' and it is devoted to the study of mappings between subsets of Euclidean spaces. The metric, hence the topological structure is discussed as well as the continuity of mappings. This is followed by introducing partial derivatives of real-valued functions and the differential of mappings. Many chapters deal with applications, in particular to geometry (parametric curves and surfaces, convexity), but topics such as extreme values and Lagrange multipliers, or curvilinear coordinates are considered too. On the more abstract side results such as the Stone-Weierstrass theorem or the Arzela-Ascoli theorem are proved in detail. The first part ends with a rigorous treatment of line integrals.The second part handles iterated and volume integrals for real-valued functions. Here we develop the Riemann (-Darboux-Jordan) theory. A whole chapter is devoted to boundaries and Jordan measurability of domains. We also handle in detail improper integrals and give some of their applications.The final part of this volume takes up a first discussion of vector calculus. Here we present a working mathematician's version of Green's, Gauss' and Stokes' theorem. Again some emphasis is given to applications, for example to the study of partial differential equations. At the same time we prepare the student to understand why these theorems and related objects such as surface integrals demand a much more advanced theory which we will develop in later volumes.This volume offers more than 260 problems solved in complete detail which should be of great benefit to every serious student.
Part 1 begins with an overview of properties of the real numbers and starts to introduce the notions of set theory. The absolute value and in particular inequalities are considered in great detail before functions and their basic properties are handled. From this the authors move to differential and integral calculus. Many examples are discussed. Proofs not depending on a deeper understanding of the completeness of the real numbers are provided. As a typical calculus module, this part is thought as an interface from school to university analysis. Part 2 returns to the structure of the real numbers, most of all to the problem of their completeness which is discussed in great depth. Once the completeness of the real line is settled the authors revisit the main results of Part 1 and provide complete proofs. Moreover they develop differential and integral calculus on a rigorous basis much further by discussing uniform convergence and the interchanging of limits, infinite series (including Taylor series) and infinite products, improper integrals and the gamma function. In addition they discussed in more detail as usual monotone and convex functions. Finally, the authors supply a number of Appendices, among them Appendices on basic mathematical logic, more on set theory, the Peano axioms and mathematical induction, and on further discussions of the completeness of the real numbers. Remarkably, Volume I contains ca. 360 problems with complete, detailed solutions.
The book presents new technologies for easy and economical construction of light concrete structures saving materials and CO2. The new super-light technology allows a designer to place forces, where it is optimal, and save material everywhere else. The book also supports this “Direct Engineering” principle with a number of new details and structural principles. The new pearl-chain technology makes it possible to design optimal shapes such as arches, vaults, cupolas, floating tunnels, and shells etc. from inexpensive, and mass-produced components. The new super-light deck-elements presented in the book are now produced in six factories in Denmark, Finland, and USA, and the number is increasing. The book will be of interest for all structural engineers, who would like to save materials, CO2 and optimize their structures, for students learning about the new technologies, and for contractors and architects, who want to investigate new building technologies.
This report has been commissioned by the Labour Market Committee of the Nordic Council of Ministers. The chief aim is to provide policy-relevant knowledge by conducting a comparative analysis of refugee labour-market integration in Scandinavia. Instead of focusing on the well-known employment gap or the fiscal impact of refugee unemployment, this study investigates the divergent impacts of integration programmes and settlement policies for refugees from different backgrounds. Through longitudinal comparative analysis, this study examines the labour-market integration of refugees in Denmark, Norway and Sweden, searching for explanations of cross-national differences by combining statistical analyses with in-depth analyses of national policies and governance structures.
This book addresses the mathematical aspects of modern image processing methods, with a special emphasis on the underlying ideas and concepts. It discusses a range of modern mathematical methods used to accomplish basic imaging tasks such as denoising, deblurring, enhancing, edge detection and inpainting. In addition to elementary methods like point operations, linear and morphological methods, and methods based on multiscale representations, the book also covers more recent methods based on partial differential equations and variational methods. Review of the German Edition: The overwhelming impression of the book is that of a very professional presentation of an appropriately developed and motivated textbook for a course like an introduction to fundamentals and modern theory of mathematical image processing. Additionally, it belongs to the bookcase of any office where someone is doing research/application in image processing. It has the virtues of a good and handy reference manual. (zbMATH, reviewer: Carl H. Rohwer, Stellenbosch)
This book contains an interdisciplinary selection of timely articles which cover a wide range of superconducting technologies ranging from high tech medicine (10-12 Gauss) to multipurpose sensors, microwaves, radio engineering, magnet technology for accelerators, magnetic energy storage, and power transmission on the 109 watt scale. It is aimed primarily at the non-specialist and will be suitable as an introductory course book for those in the relevant fields and related industries. As shown in the title several examples of high-c applications are included. While low-Tc is still the leading technology, for instance, in cables and SQUIDS, case studies in these areas are presented.
This book explores how theories of cognition inform our theoretical understanding of business models and business model innovation. A business model can either be viewed as an objective description of an activity system, or as an abstract, conceptual, and perceptual construct, that is the result of cognition. From this second point of view, the business model becomes a schematic mental model that is created, shaped, and shared over time. In other words, managers hold in their mind perceptual constructs that constitute schemas of the business model. This book examines how the underlying processes of the creation, shaping, and sharing of business (mental) models take place at individual, organizational, and even inter-organizational levels. Theories of managerial and organizational cognition are explored to inform our understanding of business modelling and business model innovation. The reader is thus provided with an overview of existing literature and reflections on future avenues of research to explore the cognitive foundations of business modelling.
With the development of Big Data platforms for managing massive amount of data and wide availability of tools for processing these data, the biggest limitation is the lack of trained experts who are qualified to process and interpret the results. This textbook is intended for graduate students and experts using methods of cluster analysis and applications in various fields. Suitable for an introductory course on cluster analysis or data mining, with an in-depth mathematical treatment that includes discussions on different measures, primitives (points, lines, etc.) and optimization-based clustering methods, Cluster Analysis and Applications also includes coverage of deep learning based clustering methods. With clear explanations of ideas and precise definitions of concepts, accompanied by numerous examples and exercises together with Mathematica programs and modules, Cluster Analysis and Applications may be used by students and researchers in various disciplines, working in data analysis or data science.
Based on a series of six lectures given by the author at the University of Michigan, this book is intended as an introduction to the topic of interpolation and sampling in analytic function spaces. The three major topics covered are Nevanlinna-Pick interpolation, Carleson's interpolation theorem, an
It is a great book for a first year (US) graduate student. One of the nice features of the book is that the book contains full solutions for all of the problems which make it useful as reference for self-study or qualifying exam prep.' (See Full Review)MAA ReviewsIn this third volume of 'A Course in Analysis', two topics indispensible for every mathematician are treated: Measure and Integration Theory; and Complex Function Theory.In the first part measurable spaces and measure spaces are introduced and Caratheodory's extension theorem is proved. This is followed by the construction of the integral with respect to a measure, in particular with respect to the Lebesgue measure in the Euclidean space. The Radon-Nikodym theorem and the transformation theorem are discussed and much care is taken to handle convergence theorems with applications, as well as Lp-spaces.Integration on product spaces and Fubini's theorem is a further topic as is the discussion of the relation between the Lebesgue integral and the Riemann integral. In addition to these standard topics we deal with the Hausdorff measure, convolutions of functions and measures including the Friedrichs mollifier, absolutely continuous functions and functions of bounded variation. The fundamental theorem of calculus is revisited, and we also look at Sard's theorem or the Riesz-Kolmogorov theorem on pre-compact sets in Lp-spaces.The text can serve as a companion to lectures, but it can also be used for self-studying. This volume includes more than 275 problems solved completely in detail which should help the student further.
This book argues for the inclusion of the corporation as an integral element of political philosophy. It begins with a historical evaluation of the corporation as a constituent of political society. It shows how Adam Smith, Hegel, and Marx conceived the role of the corporation in relation to the state, the market and civil society, before moving on to the rejection of the corporation as a genuine moral and political agent by Rawls and Habermas. The next chapter of the book presents the corporation as a collective that possesses political and moral agency. The author outlines four distinct political philosophies of corporate responsibility: the Aristotelian conservative-virtue ethical conception; the market liberal theory; the social liberal theory of corporate citizenship and political CSR; and Marxist-inspired critical theories. It is argued that the social liberal theory provides a better justification compared to its rivals. The third and final group of chapters applies the social liberal conception – called the social liberal corporation – to important contemporary issues, including human rights in global supply chains, financial and digital firms, sustainability and climate change. Corporate Responsibility and Political Philosophy will appeal to political philosophers, political theorists, and applied ethicists, as well as scholars in other disciplines working on issues related to business ethics, organizational ethics, sustainability and corporate social responsibility. As it provides a comprehensive introduction to corporate responsibility it is also relevant to sustainability professionals who seek an overview of the theoretical debate on corporate responsibility.
Multiblock Data Fusion in Statistics and Machine Learning Explore the advantages and shortcomings of various forms of multiblock analysis, and the relationships between them, with this expert guide Arising out of fusion problems that exist in a variety of fields in the natural and life sciences, the methods available to fuse multiple data sets have expanded dramatically in recent years. Older methods, rooted in psychometrics and chemometrics, also exist. Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences is a detailed overview of all relevant multiblock data analysis methods for fusing multiple data sets. It focuses on methods based on components and latent variables, including both well-known and lesser-known methods with potential applications in different types of problems. Many of the included methods are illustrated by practical examples and are accompanied by a freely available R-package. The distinguished authors have created an accessible and useful guide to help readers fuse data, develop new data fusion models, discover how the involved algorithms and models work, and understand the advantages and shortcomings of various approaches. This book includes: A thorough introduction to the different options available for the fusion of multiple data sets, including methods originating in psychometrics and chemometrics Practical discussions of well-known and lesser-known methods with applications in a wide variety of data problems Included, functional R-code for the application of many of the discussed methods Perfect for graduate students studying data analysis in the context of the natural and life sciences, including bioinformatics, sensometrics, and chemometrics, Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences is also an indispensable resource for developers and users of the results of multiblock methods.
Proteomics is the study of the subsets of proteins present in different parts of an organism and how they change with time and varying conditions. Mass spectrometry is the leading technology used in proteomics, and the field relies heavily on bioinformatics to process and analyze the acquired data. Since recent years have seen tremendous developments in instrumentation and proteomics-related bioinformatics, there is clearly a need for a solid introduction to the crossroads where proteomics and bioinformatics meet. Computational Methods for Mass Spectrometry Proteomics describes the different instruments and methodologies used in proteomics in a unified manner. The authors put an emphasis on the computational methods for the different phases of a proteomics analysis, but the underlying principles in protein chemistry and instrument technology are also described. The book is illustrated by a number of figures and examples, and contains exercises for the reader. Written in an accessible yet rigorous style, it is a valuable reference for both informaticians and biologists. Computational Methods for Mass Spectrometry Proteomics is suited for advanced undergraduate and graduate students of bioinformatics and molecular biology with an interest in proteomics. It also provides a good introduction and reference source for researchers new to proteomics, and for people who come into more peripheral contact with the field.
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