This self-contained introduction to machine learning, designed from the start with engineers in mind, will equip students with everything they need to start applying machine learning principles and algorithms to real-world engineering problems. With a consistent emphasis on the connections between estimation, detection, information theory, and optimization, it includes: an accessible overview of the relationships between machine learning and signal processing, providing a solid foundation for further study; clear explanations of the differences between state-of-the-art techniques and more classical methods, equipping students with all the understanding they need to make informed technique choices; demonstration of the links between information-theoretical concepts and their practical engineering relevance; reproducible examples using Matlab, enabling hands-on student experimentation. Assuming only a basic understanding of probability and linear algebra, and accompanied by lecture slides and solutions for instructors, this is the ideal introduction to machine learning for engineering students of all disciplines.

The 13th International Conference on Conceptual Structures (ICCS 2005) was held in Kassel, Germany, during July 17 22, 2005. Information about the c- ference can be found athttp: //www.kde.cs.uni-kassel.de/conf/iccs05. The title of this year s conference, Common Semantics for Sharing Kno- edge, waschosentoemphasizeontheonehandtheoverallaimofanyknowledge representationformalism, to support the sharing of knowledge, and on the other hand the importance of a common semantics to avoiddistortion of the meaning. We understand that both aspects are of equal importance for a successful future of the researcharea of conceptual structures. We are thus happy that the papers presentedatICCS2005addressedbothapplicationsandtheoreticalfoundations. Sharing knowledge can also be understood in a separate sense. Thanks to the German Research Foundation, DFG, we were able to invite nine inter- tionally renowned researchers from adjacent research areas. We had stimulating presentationsandlively discussions, with bidirectionalknowledgesharing.Ev- tually the ground can be laid for establishing common semantics between the respective theories. This year, 66 papers were submitted, from which 22 were selected to be included in this volume. In addition, the ?rst nine papers present the invited talks.Wewishtoexpressourappreciationtoalltheauthorsofsubmittedpapers, to the members of the Editorial Board and the Program Committee, and to the external reviewers for making ICCS 2005 a valuable contribution to the knowledge processing research ?eld."

The book reviews the synergism between various fields of research that are confronted with networks, like genetic and metabolic networks, social networks, the Internet and ecological systems. In many cases, the interacting networks manifest so-called emergent properties that are not possessed by any of the individual components. This means that the detailed knowledge of the components is insufficient to describe the whole system. Recent work has indicated that networks in nature have so-called scale-free characteristics, and the associated dynamic network modelling shows unexpected results such as an amazing robustness against accidental failures. Modelling the signal transduction networks in bioprocesses as in living cells is a challenging interdisciplinary research area...

DVB - Digitale Fernsehtechnik dokumentiert das technische RA1/4stzeug des Digitalen Fernsehens. Ulrich Reimers - Entwicklungsleiter des Industrie-gefA1/4hrten, internationalen DVB-Projekts - und sein Autorenteam beschreiben die Technologien des Digitalen Fernsehens aus der Perspektive derjenigen, die deren Entwicklung und Standardisierung vorangetrieben haben. Diese 3. Auflage baut auf den Vorauflagen aus den 90er Jahren auf, die schon die Audio- und VideoA1/4bertragungstechniken fA1/4r das Digitale Fernsehen einschlieAlich der zugehArigen Kanalcodierung sowie die digitale Modulation fA1/4r die einzelnen Anwendungen, JPEG- und MPEG-Standards, die Systemebene und die Multiplexbildung sowie die Messtechnik behandelten. In dieser Auflage neu sind die Kapitel A1/4ber Datenrundfunk, die Standards fA1/4r Interaktive Dienste und die Multimedia Home Platform (MHP). Umfassendere Aktualisierungen wurden in der EinfA1/4hrung sowie den Kapiteln A1/4ber MPEG-2-Systeme/Multiplexing und DBV-T vorgenommen.

This volume contains selected papers presented at the 12th International C- ference on Conceptual Structures, ICCS 2004, held in Huntsville Alabama, July 19 23, 2004. The main theme of the conference, Conceptual Structures at Work, was chosen to express our intention of applying conceptual structures for hum- centered practical purposes. That invites us to develop not only clear conceptual theories, butalsomethodstosupporthumansintheapplicationofthesetheories in their societies. Some promising steps in this direction are being taken, but the gap between the researchers working on a highly sophisticated level on one side and the practitioners in many ?elds of applications on the other side is usually di?culttobridge.Someofushaveexperiencesinsuchpracticalcooperation, but we need more members of our community to be engaged in real life problems . We all know that solutions of complex problems in practice require not only a well-developed formal theory, but also an understanding of the whole context of the given problems. To support our understanding we need general philo- phical methods as well as formal theories for the representation of fundamental structures in practice. We believe that our community has powerful tools and methodsforsuccessfulapplicationsinpractice, butthatwemustdevelopaforum to present our results to a broader audience. First we must understand the s- ni?cant developments in our own group, which has activities in many directions of research."

From the reviews: "Bioinformaticians are facing the challenge of how to handle immense amounts of raw data, [ ] and render them accessible to scientists working on a wide variety of problems. [This book] can be such a tool." IEEE Engineering in Medicine and Biology

This textbook provides an overview of the digital information landscape and explains the implications of the technological changes for the information industry, from publishers and broadcasters to the information professionals who manage information in all its forms. This fully-updated second edition includes examples of organizations and individuals who are seizing on the opportunities thrown up by this once-in-a-generation technological shift providing a cutting-edge guide to where we are going both as information consumers and in terms of broader societal changes. Each chapter explores aspects of the information lifecycle, including production, distribution, storage and consumption and contains case studies chosen to illustrate particular issues and challenges facing the information industry. One of the key themes of the book is the way that organizations, public and commercial, are blurring their traditional lines of responsibility. Amazon is moving from simply selling books to offering the hardware and software for reading them. Apple still makes computer hardware but also manages one of the world's leading marketplaces for music and software applications. Google maintains its position as the most popular internet search engine but has also digitized millions of copies of books from leading academic libraries and backed the development of the world's most popular computing platform, Android. At the heart of these changes are the emergence of cheap computing devices for decoding and presenting digital information and a network which allows the bits and bytes to flow freely, for the moment at least, from producer to consumer. While the digital revolution is impacting on everyone who works with information, sometimes negatively, the second edition of Information 2.0 shows that the opportunities outweigh the risks for those who take the time to understand what is going on. Information has never been more abundant and accessible so those who know how to manage it for the benefit of others in the digital age will be in great demand. Readership: Students taking courses in library and information science, publishing and communication studies, with particular relevance to core modules exploring the information society and digital information. Academics and practitioners who need to get to grips with the new information environment.

This book is a useful text for advanced students of MIS and ICT courses, and for those studying ICT in related areas: Management and Organization Studies, Cultural Studies, and Technology and Innovation. As ICT's permeate every sphere of society-business, education, leisure, government, etc.-it is important to reflect the character and complexity of the interaction between people and computer, between society and technology. For example, the user may represent a much broader set of actors than 'the user' conventionally found in many texts: the operator, the customer, the citizen, the gendered individual, the entrepreneur, the 'poor', the student. Each actor uses ICT in different ways. This book examines these issues, deploying a number of methods such as Actor Network Theory, Socio-Technical Systems, and phenomenological approaches. Management concerns about strategy and productivity are covered together with issues of power, politics, and globalization. Topics range from long-standing themes in the study of IT in organizations such as implementation, strategy, and evaluation, to general analysis of IT as socio-economic change. A distinguished group of contributors, including Bruno Latour, Saskia Sassen, Robert Galliers, Frank Land, Ian Angel, and Richard Boland, offer the reader a rich set of perspectives and ideas on the relationship between ICT and society, organizational knowledge and innovation.

In this work noisy information is studied in the context of computational complexity - in other words it deals with the computational complexity of mathematical problems for which available information is partial, noisy and priced. The author develops a general theory of computational complexity of continuous problems with noisy information and gives a number of applications; deterministic as well as stochastic noise is considered. He presents optimal algorithms, optimal information, and complexity bounds in different settings: worst case, average case, mixed worst-average and average-worst, and asymptotic. Particular topics include: existence of optimal linear (affine) algorithms, optimality properties of smoothing spline, regularization and least squares algorithms (with the optimal choice of the smoothing and regularization parameters), adaption versus nonadaption, relations between different settings. The book integrates the work of researchers since the mid-1980s in such areas as computational complexity, approximation theory and statistics, and includes many new results.

Im Jahr 2001 hat der deutsche Gesetzgeber durch mehrere AEnderungen der Zivilprozessordnung die Grundlagen fur einen Einsatz von Informationstechnologien im Zivilprozess geschaffen (FormanpassungsG 2001; ZPO-ReformG 2001; ZustellungsreformG 2001). Diese Arbeit befasst sich mit einer der zentralen Neuregelungen in diesem Zusammenhang, der Durchfuhrung von Videokonferenzen im Zivilprozess auf der Grundlage von 128 a ZPO i.d F. des ZPO-Reformgesetzes 2001. Es ist die erste monografische Untersuchung dieses Themas. Die Arbeit will einen Beitrag zur Genese juristischer Meinungen leisten, Reflektionen zu bestehenden Ansatzen und Denkanstoesse zu Neuem geben.

Given the huge amount of information in the internet and in practically every domain of knowledge that we are facing today, knowledge discovery calls for automation. The book deals with methods from classification and data analysis that respond effectively to this rapidly growing challenge. The interested reader will find new methodological insights as well as applications in economics, management science, finance, and marketing, and in pattern recognition, biology, health, and archaeology.

The challenges to humanity posed by the digital future, the first detailed examination of the unprecedented form of power called "surveillance capitalism," and the quest by powerful corporations to predict and control our behavior. In this masterwork of original thinking and research, Shoshana Zuboff provides startling insights into the phenomenon that she has named surveillance capitalism. The stakes could not be higher: a global architecture of behavior modification threatens human nature in the twenty-first century just as industrial capitalism disfigured the natural world in the twentieth. Zuboff vividly brings to life the consequences as surveillance capitalism advances from Silicon Valley into every economic sector. Vast wealth and power are accumulated in ominous new "behavioral futures markets," where predictions about our behavior are bought and sold, and the production of goods and services is subordinated to a new "means of behavioral modification." The threat has shifted from a totalitarian Big Brother state to a ubiquitous digital architecture: a "Big Other" operating in the interests of surveillance capital. Here is the crucible of an unprecedented form of power marked by extreme concentrations of knowledge and free from democratic oversight. Zuboff's comprehensive and moving analysis lays bare the threats to twenty-first century society: a controlled "hive" of total connection that seduces with promises of total certainty for maximum profit -- at the expense of democracy, freedom, and our human future. With little resistance from law or society, surveillance capitalism is on the verge of dominating the social order and shaping the digital future -- if we let it.

Information Retrieval (IR) is concerned with the effective and efficient retrieval of information based on its semantic content. The central problem in IR is the quest to find the set of relevant documents, among a large collection containing the information sought, satisfying a user's information need usually expressed in a natural language query. Documents may be objects or items in any medium: text, image, audio, or indeed a mixture of all three. This book presents 12 revised lectures given at the Third European Summer School in Information Retrieval, ESSIR 2000, held at the Villa Monastero, Varenna, Italy, in September 2000. The first part of the book is devoted to the foundation of IR and related areas; the second part on advanced topics addresses various current issues, from usability aspects to Web searching and browsing.

"Data Analysis" in the broadest sense is the general term for a field of activities of ever-increasing importance in a time called the information age. It covers new areas with such trendy labels as, e.g., data mining or web mining as well as traditional directions emphazising, e.g., classification or knowledge organization. Leading researchers in data analysis have contributed to this volume and delivered papers on aspects ranging from scientific modeling to practical application. They have devoted their latest contributions to a book edited to honor a colleague and friend, Hans-Hermann Bock, who has been active in this field for nearly thirty years.

With word processing and the Internet, computing is much more part and parcel of the everyday life of the humanities scholar, but computers can do much more than assist with writing or Internet searching. This book introduces a range of tools and techniques for manipulating and analysing electronic texts in the humanities. It shows how electronic texts can be used for the literary analysis, linguistic analysis, authorship attribution, and the preparation and publication of electronic scholarly editions. It assesses the ways in which research in corpus and computational linguistics can feed into better electronic tools for humanities research. The tools and techniques discussed in this book will feed into better Internet tools and pave the way for the electronic scholar of the twenty-first century.

This book is an introduction to the ways in which humanities scholars and students can use electronic texts for research and teaching in literature, linguistics, and history. The book goes beyond current Internet technology to show how computers can be used not only to show electronic texts, but to manipulate and analyse them.

Information technology is arguably the most important scientific topic needed for understanding and participating in our increasingly complex technological world. Using simple physical arguments and extensive examples, Information and Measurement, Second Edition shows how this theory can be put into practice. Twice awarded the UK National Metrology Prize by the National Physical Laboratory for his outstanding contributions to measurement science and technology, the author includes the basic mathematical, physical, and engineering concepts required, illustrating their interrelationship in a clear, concise manner. The broad coverage includes topics taught in a variety of courses.
This book will be an invaluable study aid for senior undergraduate and graduate students in physics, electrical engineering, and computer science, specifically studying instrumentation, measurement science, and information science. It will also be a useful reference for practicing scientists and engineers.

An introductory review of uncertainty formalisms by the volume editors begins the volume. The first main part of the book introduces some of the general problems dealt with in research. The second part is devoted to case studies; each presentation in this category has a well-delineated application problem and an analyzed solution based on an uncertainty formalism. The final part reports on developments of uncertainty formalisms and supporting technology, such as automated reasoning systems, that are vital to making these formalisms applicable. The book ends with a useful subject index. There is considerable synergy between the papers presented. The representative collection of case studies and associated techniques make the volume a particularly coherent and valuable resource. It will be indispensable reading for researchers and professionals interested in the application of uncertainty formalisms as well as for newcomers to the topic.

Algorithms play a central role both in the theory and in the practice of computing. The goal of the authors was to write a textbook that would not trivialize the subject but would still be readable by most students on their own. The book contains over 120 exercises. Some of them are drills; others make important points about the material covered in the text or introduce new algorithms not covered there. The book also provides programming projects. From the Table of Contents: Chapter 1: Basic knowledge of Mathematics, Relations, Recurrence relation and Solution techniques, Function and Growth of functions. Chapter 2: Different Sorting Techniques and their analysis. Chapter 3: Greedy approach, Dynamic Programming, Branch and Bound techniques, Backtracking and Problems, Amortized analysis, and Order Statics. Chapter 4: Graph algorithms, BFS, DFS, Spanning Tree, Flow Maximization Algorithms. Shortest Path Algorithms. Chapter 5: Binary search tree, Red black Tree, Binomial heap, B-Tree and Fibonacci Heap. Chapter 6: Approximation Algorithms, Sorting Networks, Matrix operations, Fast Fourier Transformation, Number theoretic Algorithm, Computational geometry Randomized Algorithms, String matching, NP-Hard, NP-Completeness, Cooks theorem.

Information and Meaning is the third book in a trilogy exploring the nature of information, intelligence and meaning. It begins by providing an overview of the first two works of the trilogy, then goes on to consider the meaning of meaning. This explorat ion leads to a theory of how the brain works. This book differs from others in the field, in that it is written from the perspective of a theoretical biologist looking at the evolution of information systems as a basis for studying the phenomena of information, intelligence and meaning. It describes how neurons create a brain which understands information inputs and then is able to operate on such information.

Nature, Risk and Responsibility explores ethical interpretations of biotechnology and examines whether sufficient consensus exists or is emerging to enable this technology to occupy a stable role in the techno-economic, social and cultural order. The contributors address the nature and prospective implications of biotechnologies for nature, life and social organisation and employ a wide range of social theories to evaluate risks and propose responses.

Many governments are pursuing with relentless vigor a neoconservative/transnational corporate program of globalization, privatization, deregulation, cutbacks to social programs, and downsizing of the public sector. Countries are forming into giant "free trade" blocs. Increasingly they lack the will and desire to resist encroachments of world "superculture". Furthermore, they encourage heightened commoditization of information and knowledge, for instance through provisions in bilateral and multilateral trade treaties. The analytical underpinning and ideological justification for this neoconservative/transnational corporate policy agenda is mainstream (neo-classical) economics.

Focusing on the centrality of information/communication to economic and ecological processes, "Communication and the Transformation of Economics" cuts at the philosophical/ideological root of this neoconservative policy agenda. Mainstream economics assumes a commodity status for information, even though information is indivisible, subjective, shared, and intangible. Information, in other words, is quite ill-suited to commodity treatment. Likewise, neoclassicism posits communication as comprising merely acts of commodity exchange, thereby ignoring gift relations; dialogic interactions; the cumulative, transformative properties of all informational interchange; and the social or community context within which communicative action takes place.

Continuing in the tradition of writers such as Russel Wallace, Thorstein Veblen, Karl Polyani, E. F. Schumacher, Kenneth E. Boulding, and Herman Daly, Robert Babe proposes infusing mainstream economics with realistic and expansive conceptions of information/communication in order to better comprehend twenty-first-century issues and progress toward a more sustainable, more just, and more democratic economic/communicatory order.

There is a need for general theoretical principles describing/explaining effective design -- those which demonstrate "unity" and enhance comprehension and usability. Theories of cohesion from linguistics and of comprehension in psychology are likely sources of such general principles. Unfortunately, linguistic approaches to discourse unity have focused exclusively on semantic elements such as synonymy or anaphora, and have ignored other linguistic elements such as syntactic parallelism and phonological alliteration. They have also overlooked the non-linguistic elements -- visual factors such as typography or color, and auditory components such as pitch or duration. In addition, linguistic approaches have met with criticism because they have failed to explain the relationship between semantic cohesive elements and coherence. On the other hand, psychological approaches to discourse comprehension have considered the impact of a wider range of discourse elements -- typographical cuing of key terms to enhance comprehension -- but have failed to provide general theoretical explanations for such observations.
This volume uses Gestalt theory to provide general principles for predicting one aspect of coherence -- that of continuity -- across the entire range of discourse elements, and also to outline the relationship between cohesion and coherence. The theoretical core of this book argues that the cognitive principles that explain why humans "sense" unity in a succession of sounds (a whole musical piece) or in a configuration of visual shapes (a complete object) are the basis of principles which explain why we "sense" unity in oral, written, and electronically produced documents.

This book is written in honour of Professor Lars H. Zetterberg, who is the pioneer of information and coding theory in Sweden, and his direct and indirect influence on the evaluation in Sweden of these topics is quite considerable. The various contributions give overviews of different topics within the area of coding theory. Each covers a speciality where - in most cases - good overviews are not easily available. The five papers together provide a good and representative sample of Swedish research activities within the field of coding theory.