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Reporting with Visual Studio and Crystal Reports
by Mahmoud ElkoushA fast-paced, example-based guide to learn how to create a reporting application using Visual Studio and Crystal Reports."Reporting with Visual Studio and Crystal Reports" is for developers new to Crystal Reports. It will also prove useful to intermediate users who wish to explore some new techniques in Crystal Reports using Microsoft Visual Studio. Readers are expected to have basic knowledge of C#, Microsoft Visual Studio, and Structured Query Language (SQL).
Repositioning Platforms in Digital Market Law (European Union and its Neighbours in a Globalized World #15)
by Dušan V. Popović Rainer KulmsOnline platforms and their ecosystems are the cornerstone of the digital economy. They have brought forth positive network effects. But they are also known for their information asymmetries, their potential for market failures and their problematic relationship with data protection law. This volume provides a detailed analysis of the current process of repositioning online platforms in the digital economy as regulators express concerns about the evolution from mere intermediaries to gatekeepers. The exclusive reliance on competition law instruments has proven to be incapable of coping with cases of platforms abusing their market power. Therefore, the book explores the European Union's new approach to digital markets consisting in the adoption or drafting of new legislative instruments, such as the Digital Markets Act, Digital Services Act, Proposal of AI Act, Proposal of Data Act, Proposal of Data Governance Act. The EU's emphasis on new regulatory ex ante instruments (as in the Digital Markets Act) calls for an assessment of their overlap or their interface with existing supranational and national competition rules. The book transcends mere competition law thinking by exploring the status of online platforms from the perspective of trade law rules, unfair competition law, data protection rules and intellectual property law. But in view of the global reach of online platforms, the risks of a jurisdiction-wise approach with conflicting regulatory strategies are all too clear. The volume therefore includes comparative studies on Australia and the USA. The potential impact of regulatory policy choices will also be assessed from the economic perspective. The book's message is not be confined to researchers and academics. It is also of great importance to practitioners in the digital sector who stand to benefit from the analysis of the law of online platforms, undertaken by a working group of renowned authors coming from different jurisdictions.
Representation Learning for Natural Language Processing
by Maosong Sun Zhiyuan Liu Yankai LinThis open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Representation Learning for Natural Language Processing
by Maosong Sun Zhiyuan Liu Yankai LinThis book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well as pre-training techniques. Part II then introduces the related representation techniques to NLP, including graphs, cross-modal entries, and robustness. Part III then introduces the representation techniques for the knowledge that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, legal domain knowledge and biomedical domain knowledge. Lastly, Part IV discusses the remaining challenges and future research directions.The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.As compared to the first edition, the second edition (1) provides a more detailed introduction to representation learning in Chapter 1; (2) adds four new chapters to introduce pre-trained language models, robust representation learning, legal knowledge representation learning and biomedical knowledge representation learning; (3) updates recent advances in representation learning in all chapters; and (4) corrects some errors in the first edition. The new contents will be approximately 50%+ compared to the first edition. This is an open access book.
Representation Learning: Propositionalization and Embeddings
by Nada Lavrač Vid Podpečan Marko Robnik-ŠikonjaThis monograph addresses advances in representation learning, a cutting-edge research area of machine learning. Representation learning refers to modern data transformation techniques that convert data of different modalities and complexity, including texts, graphs, and relations, into compact tabular representations, which effectively capture their semantic properties and relations. The monograph focuses on (i) propositionalization approaches, established in relational learning and inductive logic programming, and (ii) embedding approaches, which have gained popularity with recent advances in deep learning. The authors establish a unifying perspective on representation learning techniques developed in these various areas of modern data science, enabling the reader to understand the common underlying principles and to gain insight using selected examples and sample Python code. The monograph should be of interest to a wide audience, ranging from data scientists, machine learning researchers and students to developers, software engineers and industrial researchers interested in hands-on AI solutions.
Representation and Management of Narrative Information
by Gian Piero ZarriA big amount of important, 'economically relevant' information, is buried within the huge mass of multimedia documents that correspond to some form of 'narrative' description. Due to the ubiquity of these 'narrative' resources, being able to represent in a general, accurate, and effective way their semantic content - i.e., their key 'meaning' - is then both conceptually relevant and economically important. In this book, we present the main properties of NKRL ('Narrative Knowledge Representation Language'), a language expressly designed for representing, in a standardised way, the 'meaning' of complex multimedia narrative documents. NKRL is a fully implemented language/environment. The software exists in two versions, an ORACLE-supported version and a file-oriented one. Written from a multidisciplinary perspective, this exhaustive description of NKRL and of the associated knowledge representation principles will be an invaluable source of reference for practitioners, researchers, and graduates.
Representation and Reality in Humans, Other Living Organisms and Intelligent Machines (Studies in Applied Philosophy, Epistemology and Rational Ethics #28)
by Gordana Dodig-Crnkovic Raffaela GiovagnoliThis book enriches our views on representation and deepens our understanding of its different aspects. It arises out of several years of dialog between the editors and the authors, an interdisciplinary team of highly experienced researchers, and it reflects the best contemporary view of representation and reality in humans, other living beings, and intelligent machines. Structured into parts on the cognitive, computational, natural sciences, philosophical, logical, and machine perspectives, a theme of the field and the book is building and presenting networks, and the editors hope that the contributed chapters will spur understanding and collaboration between researchers in domains such as computer science, philosophy, logic, systems theory, engineering, psychology, sociology, anthropology, neuroscience, linguistics, and synthetic biology.
Representation in Machine Learning (SpringerBriefs in Computer Science)
by M. N. Murty M. AvinashThis book provides a concise but comprehensive guide to representation, which forms the core of Machine Learning (ML). State-of-the-art practical applications involve a number of challenges for the analysis of high-dimensional data. Unfortunately, many popular ML algorithms fail to perform, in both theory and practice, when they are confronted with the huge size of the underlying data. Solutions to this problem are aptly covered in the book. In addition, the book covers a wide range of representation techniques that are important for academics and ML practitioners alike, such as Locality Sensitive Hashing (LSH), Distance Metrics and Fractional Norms, Principal Components (PCs), Random Projections and Autoencoders. Several experimental results are provided in the book to demonstrate the discussed techniques’ effectiveness.
Representation of Disability in Children’s Video Games (Routledge Research in Disability and Media Studies)
by Krystina MadejRepresentation of Disability in Children’s Video Games looks at how children’s engagement with characters and stories in video games helps create the perception of disability they have as teens and adults. Drawing on child development theory supported by neuroscience, the book shows how the scaffold of information, the schema, adults have of disability is first created at a very young age as they interact through game play with characters with disabilities. Positing that early video game play experiences should provide exposure to narrative schemas that add understanding and help create meaning about the disability represented, the book presents how such representation in children’s video games maps against cognitive development, and the psychomotor and cognitive needs and abilities of children ages 3 to 12. Close reading of over 40 PEGI 3 and PEGI 7 (ESRB E, 10+) games and analysis of games as diverse as Backyard Baseball and Sly Cooper helped define broad categories of representation: representation can be cosmetic, providing exposure but not gameplay utility; it can be incidental, used as a device that provides purpose for the narrative; or it can more authentically represent the disability as integral to the character and their life. The book provides readers with an overview of contemporary games that betters their understanding of how children’s games present disability and how children create their perceptions through interaction with characters and stories. This book will be of interest to academics and students of game studies, in particular topics such as behavioural science, ethics, and HCI, as well as sociology, communications, and digital media.
Representations of Poverty in Videogames
by Adam CrowleyThis book argues that videogames address contemporary, middle-class anxieties about poverty in the United States. The early chapters consider gaming as a modern form of slumming and explore the ways in which titles like The Elder Scrolls V: Skyrim and World of Warcraft thematize poverty. The argument turns to the field of literary studies to identify analytical frameworks for addressing and understanding these themes. Throughout, the book considers how the academic area of inquiry known as game studies has developed over time, and makes use of such scholarship to present, frame, and value its major claims and findings. In its conclusion, the book models how poverty themes might be identified and associated for the purpose of gaining greater insights into how games can shape, and also be shaped by, the player’s economic expectations.
Representations, Analysis and Recognition of Shape and Motion from Imaging Data
by Boulbaba Ben Amor Faten Chaieb Faouzi GhorbelThis book constitutes the refereed proceedings of the 6th International Workshop on Representations, Analysis and Recognition of Shape and Motion from Imaging Data, RFMI 2016, held in Sidi Bou Said Village, Tunisia, in October 2016. The 9 revised full papers and 7 revised short papers presented were carefully reviewed and selected from 23 submissions. The papers are organized in topical sections on 3D Shape Registration and Comparison; Face Analysis and Recognition; Video and Motion Analysis; 2D Shape Analysis.
Representations, Analysis and Recognition of Shape and Motion from Imaging Data: 7th International Workshop, RFMI 2017, Savoie, France, December 17–20, 2017, Revised Selected Papers (Communications in Computer and Information Science #842)
by Liming Chen Boulbaba Ben Amor Faouzi GhorbelThis book constitutes the refereed proceedings of the 7th International Workshop on Representations, Analysis and Recognition of Shape and Motion from Imaging Data, RFMI 2017, held in Savoi, France, in December 2017.The 8 revised full papers and 9 revised short papers presented were carefully reviewed and selected from 23 submissions. The papers are organized in topical sections on analyzing motion data; deep learning on image and shape data; 2D and 3D pattern classification; watermarking, segmentation and deformations.
Representing Conflicts in Games: Antagonism, Rivalry, and Competition (Routledge Advances in Game Studies)
by Jonas Linderoth Anders Frank Björn SjöblomThis book offers an overview of how conflicts are represented and enacted in games, in a variety of genres and game systems. Games are a cultural form apt at representing real world conflicts, and this edited volume highlights the intrinsic connection between games and conflict through a set of theoretical and empirical studies. It interrogates the nature and use of conflicts as a fundamental aspect of game design, and how a wide variety of conflicts can be represented in digital and analogue games. The book asks what we can learn from conflicts in games, how our understanding of conflicts change when we turn them into playful objects, and what types of conflicts are still not represented in games. It queries the way games make us think about armed conflict, and how games can help us understand such conflicts in new ways. Offering a deeper understanding of how games can serve political, pedagogical, or persuasive purposes, this volume will interest scholars and students working in fields such as game studies, media studies, and war studies.
Reproducible Data Science with Pachyderm: Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0
by Svetlana KarsliogluCreate scalable and reliable data pipelines easily with PachydermKey FeaturesLearn how to build an enterprise-level reproducible data science platform with PachydermDeploy Pachyderm on cloud platforms such as AWS EKS, Google Kubernetes Engine, and Microsoft Azure Kubernetes ServiceIntegrate Pachyderm with other data science tools, such as Pachyderm NotebooksBook DescriptionPachyderm is an open source project that enables data scientists to run reproducible data pipelines and scale them to an enterprise level. This book will teach you how to implement Pachyderm to create collaborative data science workflows and reproduce your ML experiments at scale.You'll begin your journey by exploring the importance of data reproducibility and comparing different data science platforms. Next, you'll explore how Pachyderm fits into the picture and its significance, followed by learning how to install Pachyderm locally on your computer or a cloud platform of your choice. You'll then discover the architectural components and Pachyderm's main pipeline principles and concepts. The book demonstrates how to use Pachyderm components to create your first data pipeline and advances to cover common operations involving data, such as uploading data to and from Pachyderm to create more complex pipelines. Based on what you've learned, you'll develop an end-to-end ML workflow, before trying out the hyperparameter tuning technique and the different supported Pachyderm language clients. Finally, you'll learn how to use a SaaS version of Pachyderm with Pachyderm Notebooks.By the end of this book, you will learn all aspects of running your data pipelines in Pachyderm and manage them on a day-to-day basis.What you will learnUnderstand the importance of reproducible data science for enterpriseExplore the basics of Pachyderm, such as commits and branchesUpload data to and from PachydermImplement common pipeline operations in PachydermCreate a real-life example of hyperparameter tuning in PachydermCombine Pachyderm with Pachyderm language clients in Python and GoWho this book is forThis book is for new as well as experienced data scientists and machine learning engineers who want to build scalable infrastructures for their data science projects. Basic knowledge of Python programming and Kubernetes will be beneficial. Familiarity with Golang will be helpful.
Reproducible Research in Pattern Recognition: Fourth International Workshop, RRPR 2022, Montreal, Canada, August 21, 2022, Revised Selected Papers (Lecture Notes in Computer Science #14068)
by Bertrand Kerautret Miguel Colom Pascal Monasse Daniel Lopresti Benjamin Perret Adrien KrähenbühlThis book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Reproducible Research in Pattern Recognition, RRPR 2022, held in Montreal, Canada, in August 2022. The 5 revised full papers presented together with 4 short papers, were carefully reviewed and selected from 9 submissions. The papers were organized into three main categories
Reproducible Research in Pattern Recognition: Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers (Lecture Notes in Computer Science #11455)
by Hugues Talbot Bertrand Kerautret Miguel Colom Pascal Monasse Daniel LoprestiThis book constitutes the thoroughly refereed post-workshop proceedings of the Second International Workshop on Reproducible Research in Pattern Recognition, RRPR 2018, in Beijing, China in August 2018.The 8 revised full papers, presented together 6 short papers, were carefully reviewed and selected from 14 submissions. This year the workshop did focus on Digital Geometry and Mathematical Morphology. The first track 1 on RR Framework was dedicated to the general topics of Reproducible Research in Computer Sciencewith a potential link to Image Processing and Pattern Recognition. In the second track 2 the authors described their works in terms of Reproducible Research.
Reproducible Research in Pattern Recognition: Third International Workshop, RRPR 2021, Virtual Event, January 11, 2021, Revised Selected Papers (Lecture Notes in Computer Science #12636)
by Hugues Talbot Bertrand Kerautret Miguel Colom Pascal Monasse Daniel Lopresti Adrien KrähenbühlThis book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Reproducible Research in Pattern Recognition, RRPR 2021, held as a virtual event, in January 2021. The 8 revised full papers, presented together with 6 short papers, were carefully reviewed and selected from 18 submissions. The papers were organized into three main categories. The first contributions focused on reproducible research frameworks. The second category focused on reproducible research results and the last category included ICPR companion papers describing implementation and details that are an absolute requirement for reproducibility.
Reproduction of Tactual Textures
by Michaël WiertlewskiTexture accounts for an important part of the realism of simulated experiences, and it is most certainly true during tactile interaction. We usually experience roughness by running our fingers onto the explored surface. The perception of this fine texture is mediated by the vibrations generated by the encounters of the skin and the asperities of the surfaces. Reproduction of Tactual Textures presents factors that contribute to the mechanics of the interaction between a bare finger and a surface with a view to their artificial reproduction. It discusses the recording and reproduction of tactual textures, and analyses a case study of the development of a device able to record the vibratory signal from a fingertip sliding over a textured surface. The same device is then used in a reverse way to render those previously measured signals to the user's fingertip. These developments open new questions about the biomechanical properties of the skin and their relation to perception. The second half of Reproduction of Tactual Textures focuses on the implication of the dynamic parameters of the skin onto rendering performance, and it concludes with a study on the important features that are present in the vibratory signal and their relation to texture perception. This state-of-the-art volume highlights the importance of the mechanics and biomechanics during the haptic exploration of surfaces and their possible contribution to perception. Collectively, the findings reported are pertinent to many applications, including robotic perception and the design of effective virtual reality systems.
Reprogramming Japan: The High Tech Crisis under Communitarian Capitalism
by Marie AnchordoguyHow have state policies influenced the development of Japan's telecommunications, computer hardware, computer software, and semiconductor industries and their stagnation since the 1990s? Marie Anchordoguy's book examines how the performance of these industries and the economy as a whole are affected by the socially embedded nature of Japan's capitalist system, which she calls "communitarian capitalism." Reprogramming Japan shows how the institutions and policies that emerged during and after World War II to maintain communitarian norms, such as the lifetime employment system, seniority-based wages, enterprise unions, a centralized credit-based financial system, industrial groups, the main bank corporate governance system, and industrial policies, helped promote high tech industries. When conditions shifted in the 1980s and 1990s, these institutions and policies did not suit the new environment, in which technological change was rapid and unpredictable and foreign products could no longer be legally reverse-engineered. Despite economic stagnation, leaders were slow to change because of deep social commitments. Once the crisis became acute, the bureaucracy and corporate leaders started to contest and modify key institutions and practices. Rather than change at different times according to their specific economic interests, Japanese firms and the state have made similar slow, incremental changes.
Reprogramming the American Dream: From Rural America to Silicon Valley—Making AI Serve Us All
by Kevin Scott Greg Shaw** #1 Wall Street Journal Bestseller **In this essential book written by a rural native and Silicon Valley veteran, Microsoft’s Chief technology officer tackles one of the most critical issues facing society today: the future of artificial intelligence and how it can be realistically used to promote growth, even in a shifting employment landscape.There are two prevailing stories about AI: for heartland low- and middle-skill workers, a dystopian tale of steadily increasing job destruction; for urban knowledge workers and the professional class, a utopian tale of enhanced productivity and convenience. But there is a third way to look at this technology that will revolutionize the workplace and ultimately the world. Kevin Scott argues that AI has the potential to create abundance and opportunity for everyone and help solve some of our most vexing problems.As the chief technology officer at Microsoft, he is deeply involved in the development of AI applications, yet mindful of their potential impact on workers—knowledge he gained firsthand growing up in rural Virginia. Yes, the AI Revolution will radically disrupt economics and employment for everyone for generations to come. But what if leaders prioritized the programming of both future technology and public policy to work together to find solutions ahead of the coming AI epoch? Like public health, the space program, climate change and public education, we need international understanding and collaboration on the future of AI and work. For Scott, the crucial question facing all of us is this: How do we work to ensure that the continued development of AI allows us to keep the American Dream alive?In this thoughtful, informed guide, he offers a clear roadmap to find the answer.
Republic of Outsiders: The Power of Amateurs, Dreamers, and Rebels
by Alissa Quart&“Vivid portraits&” of individuals and subcultures by a writer who &“unmasks the assumptions we make about what counts as normal&” (The New York Times). They are outsiders who seek to redefine fields from mental health to diplomacy to music. They push boundaries and transform ideas. They include filmmakers crowdsourcing their work, transgender and autistic activists, and Occupy Wall Street&’s &“alternative bankers.&” These people create and package themselves in a practice cultural critic Alissa Quart dubs &“identity innovation.&” In this &“fascinating&” book, Quart introduces us to individuals who have created new structures to keep themselves sane, fulfilled, and, on occasion, paid. This deeply reported book shows how these groups now gather, organize, and create new communities and economies. Without a middleman, freed of established media, and highly mobile, unusual ideas and cultures are able to spread more quickly and find audiences and allies. Republic of Outsiders is a critical examination of those for whom being rebellious, marginal, or amateur is a source of strength (Barbara Ehrenreich). &“Even if you don&’t consider yourself an outsider or a rebel, Quart&’s book has several lessons for creative work, particularly when it comes to making art outside a heavily commercial system.&” —Fast Company &“One of the smartest cultural interpreters of her generation. In Republic of Outsiders, she mixes sharp-eyed analysis with an empathetic heart. The result is a great read, and a brand-new lens through which to view outsiders, insiders—and ourselves.&” —Susan Cain, author of Quiet: The Power of Introverts in a World That Can&’t Stop Talking
Republic.com 2.0
by Cass R. SunsteinWhat happens to democracy and free speech if people use the Internet to listen and speak only to the like-minded? What is the benefit of the Internet's unlimited choices if citizens narrowly filter the information they receive? Cass Sunstein first asked these questions in 2001'sRepublic. com. Now, inRepublic. com 2. 0, Sunstein thoroughly rethinks the critical relationship between democracy and the Internet in a world where partisan Weblogs have emerged as a significant political force. Republic. com 2. 0highlights new research on how people are using the Internet, especially the blogosphere. Sunstein warns against "information cocoons" and "echo chambers," wherein people avoid the news and opinions that they don't want to hear. He also demonstrates the need to regulate the innumerable choices made possible by technology. His proposed remedies and reforms emphasize what consumers and producers can do to help avoid the perils, and realize the promise, of the Internet.
Reputation Economics: Why Who You Know Is Worth More Than What You Have
by Joshua KleinAs the internet has increasingly become more social, the value of individual reputations has risen, and a new currency based on reputation has been created. This means that not only are companies tracking what an individual is tweeting and what sites they spend the most time on, but they're using this knowledge to predict the consumer's future behavior. And a world in which Target knows that a woman is pregnant before she does, or where a person gets a job (or loses one) based on his high school hijinx is a scary one indeed. Joshua Klein's Reputation Economics asks these crucial questions: But what if there were a way to harness the power of these new technologies to empower the individual and entrepreneur? What if it turned out that David was actually better suited to navigate this new realm of reputation than Goliath? And what if he ushered in a new age of business in which reputation, rather than money, was the strongest currency of all? This is all currently happening online already.Welcome to the age of Reputation Economics:-Where Avis is currently discounting car rentals based on Twitter followers-Where Carnival Cruise Lines are offering free upgrades based on a Klout score-Where Amazon and Microsoft are a short way away from dynamically pricing their goods based on a consumer's reach and reputation online-Where Klout scores are being used to vet job applicationsThe value of individual reputation is already radically changing the way business is done.
Reputation Management Online: America's "Right to Be Forgotten" (NCA Focus on Communication Studies)
by Ben MedeirosThis book examines the work of the public relations, technology, and legal professionals who provide online "reputation management" services, situating their work within contemporary debates about regulating speech on the internet. The author argues that legal solutions like the European "Right to Be Forgotten" are not really possible in the U.S., but that the private solutions of reputation management help to ameliorate novel concerns about reputation. At the same time, he contends that these practices prompt different free speech and dignitary concerns unique to the digital environment. Drawing upon rhetorical and legal analysis of diverse texts, including reputation management promotional materials, interviews with practitioners, legal cases, and popular online commentary about reputational disputes themselves, the book intervenes in specific debates about the regulation of the internet, as well as broader socio-legal debates about the role of reputation-damaging speech in a democratic society. This timely and relevant study will have great relevance for all students and scholars of communication studies, public relations, rhetoric, new and digital media, internet law, technology and society, computer mediated communication, and sociology.
Reputation Transfer to Enter New B-to-B Markets
by Christine FalkenreckThis book focuses on the development and cross-cultural testing of a construct of reputation rooted in resource-based theories. No study has ever asked organizational customers to rate the importance of a supplier's positive reputation on their buying decision. The results of the survey contribute substantially to our understanding of reputation measuring and managing. This book is the first to highlight the cross-link between reputation, reputation transfer and culture, and argues that to develop one cross-culturally valid construct of reputation, which can be used in both B-to-B and B-to-C contexts is neither useful nor appropriate.