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Information extraction : Algorithms and prospects in a retrieval context
The book focuses on content recognition in text. It elaborates on the past and current most successful algorithms and their application in a variety of domains (e.g., news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text). An important part discusses current statistical and machine learning algorithms for information detection and classification and integrates their results in probabilistic retrieval models. The book also reveals a number of ideas towards an advanced understanding and synthesis of textual content.
Informatics in Control, Automation and Robotics II
Informatics in Control, Automation and Robotics II is a collection of the best papers presented at the 2nd International Conference on Informatics in Control, Automation and Robotics (ICINCO). The purpose of ICINCO was to bring together researchers, engineers and practitioners interested in the application of informatics to Control, Automation and Robotics.
Infection control and management of hazardous materials for the dental team
Comprehensive coverage looks at infection control and prevention from the perspective of all dental team members. Easy-to-follow, step-by-step procedures are provided for skills that dental team members must master, each presented with a goal, materials, chronological steps, and rationales for the performance of each step. Review questions ensure your comprehension of the material and provide practice for classroom and board examinations. Key terms begin each chapter and are highlighted within text discussions and defined in a back-of-book glossary. Chapter learning objectives help you set goals for what you will accomplish and serve as checkpoints for comprehension and study tools in preparation for examinations.
Improving operating leverage using hyperautomation : Unlock strategic advantages across banking and non-banking financial institutions
Delving in depth into enterprise non-interest operating cost management and operating leverage. operating Leverage is about managing a bank's capabilities and its capacity to deliver its products and services efficiently. it is not limited to managing operational costs but includes the operational support for the growth of business and for improving profitability. the reader can learn to improve risk adjusted operational effectiveness by implementing a nuanced approach to managing performance, risk, control, and cost simultaneously, at the process level. the book explains why hyperautomation, a technology that intelligently automates business processes is a more advanced and comprehensive way to manage these factors in a holistic and integrated way.
Improving Healthcare : A Dose of Competition
Improving Healthcare: A Dose of Competition systematically examines the American health care system from a competition-oriented perspective. The volume surveys the performance of each major sector of the health care system, and identifies impediments to more effective competition. Improving Healthcare examines such issues as competition v. regulation, public and private sector approaches to health care financing, cross-subsidies, licensure, provider market concentration, financial and clinical integration, payment for performance, quality, pharmacy benefit managers, direct-to-consumer advertising of pharmaceuticals, certificates of need, mandates, unionization, the significance of organizational status (nonprofit v. for-profit), and the role of antitrust and consumer protection in health care. It offers concrete recommendations to improve the quality and cost-effectiveness of the American health care marketplace.
Implementing machine learning for finance : A systematic approach to predictive risk and performance analysis for investment portfolios
Introduces pattern recognition and future price forecasting that exerts effects on time series analysis models, such as the Autoregressive Integrated Moving Average (ARIMA) model, Seasonal ARIMA (SARIMA) model, and Additive model, and it covers the Least Squares model and the Long Short-Term Memory (LSTM) model. It presents hidden pattern recognition and market regime prediction applying the Gaussian Hidden Markov Model. The book covers the practical application of the K-Means model in stock clustering. It establishes the practical application of the Variance-Covariance method and Simulation method (using Monte Carlo Simulation) for value at risk estimation. It also includes market direction classification using both the Logistic classifier and the Multilayer Perceptron classifier. Finally, the book presents performance and risk analysis for investment portfolios. You will: Understand the fundamentals of the financial market and algorithmic trading, as well as supervised and unsupervised learning models that are appropriate for systematic investment portfolio management / Know the concepts of feature engineering, data visualization, and hyperparameter optimization / Design, build, and test supervised and unsupervised ML and DL models / Discover seasonality, trends, and market regimes, simulating a change in the market and investment strategy problems and predicting market direction and prices / Structure and optimize an investment portfolio with preeminent asset classes and measure the / underlying risk
Implementation and Application of Functional Languages ; 19th International Workshop, IFL 2007, Freiburg, Germany, September 27-29, 2007. Revised Selected Papers
This book constitutes the thoroughly refereed post-proceedings of the 19th International Workshop on Implementation and Applications of Functional Languages, IFL 2007, held in Freiburg, Germany in September 2007.The 15 revised full papers presented went through two rounds of reviewing and improvement and were selected from 33 submissions. The papers address all current theoretical and methodological issues on functional and function-based languages such as type checking, contract checking, compilation, parallelism, development and debugging, data structures, parsing as well as various performance related concepts.
Immediate Early Genes in Sensory Processing, Cognitive Performance and Neurological Disorders
This book reviews and details experiments and theories that challenge the reader to expand their view on how IEG research is currently being used to advance our understanding of static and active brain circuits, enabling the processing, acquisition and storage of new information in healthy systems. In addition, we explore roles of IEGs in clinical neuropathology, with potential utility in molecular modeling, to highlight, on a go-forward basis, candidate mechanisms for novel targets in clinical intervention.
Imaging Techniques in Dental Radiology : Acquisition, Anatomic Analysis and Interpretation of Radiographic Images
This book is an up-to-date guide to the performance and interpretation of imaging studies in dental radiology. The aim is to equip the reader with all the information required in order to perform imaging effectively and safely.
Image-Based Rendering
Image-based rendering (IBR) refers to a collection of techniques and representations that allows 3D scenes and objects to be visualized in a realistic way without full 3D model reconstruction. The potential for photorealistic visualization has tremendous appeal, especially for applications such as video games, virtual travel, and E-commerce, which stand to greatly benefit from this technology.
Identities at Work
This edited volume on Identities at Work brings together international theory and empirical research that deals with continuity and change of identity formation processes at work under conditions of modern working processes and labour market flexibility. Modern work processes in manufacturing and service organisations increasingly rely upon responsible and competent employees who are willing and able to engage in the tasks that their job requires and in continuous learning. That employees are able to engage in taking up new forms of responsibility and master complex work situations is, on the one hand, dependent upon employees’ skills and how well they are trained. On the other hand, it requires that employees identify with what they do and commit to their work and the performance of tasks.
Hypoxia and Exercise
The 14th volume in the series will focus on cutting edge research at the interface of hypoxia and exercise. The work will cover the range from molecular mechanisms of muscle fatigue and muscle wasting to whole body exercise on the world’s highest mountains. State of the art papers on training at high altitude for low altitude athletic performance will also be featured.
Hyperparameter tuning for machine and deep learning with R : A practical guide
Equips readers with the ability to achieve better results with significantly less time, costs, effort and resources using the methods described here. The case studies presented in this book can be run on a regular desktop or notebook computer. The content focuses on the hyperparameter tuning of ML and DL algorithms, and is divided into two main parts: theory (Part I) and application (Part II). Essential topics covered include: a survey of important model parameters; four parameter tuning studies and one extensive global parameter tuning study; statistical analysis of the performance of ML and DL methods based on severity; and a new, consensus-ranking-based way to aggregate and analyze results from multiple algorithms.
Hybrid metaheuristics ; Vol. 4030 ; 3rd International Workshop, HM 2006, Gran Canaria, Spain, October 13-14, 2006, Proceedings
The selection of papers for HM 2006 consolidated some of the mainstream issues that have emerged from the past editions. Firstly, there are prominent examples of e?ective hybrid techniques whose design and implementation were motivated by challenging real-world applications. We believe this is particularly important for two reasons: on the one hand, researchers are conscious that the primary goal of developing algorithms is to solve relevant real-life problems; on the other hand, the path towarde?cient solving methods for practical problems is a source of new outstanding ideas and theories. A second important issue is that the research community on metaheur- tics has become increasingly interested in and open to techniques and methods known from arti?cial intelligence (AI) and operations research (OR). So far, the most representative examples of such integration have been the use of AI/OR techniques as subordinates of metaheuristic methods. As a historical and - ymological note, this is in perfect accordance with the original meaning of a metaheuristic as a “general strategy controlling a subordinate heuristic. ” The awareness of the need for a sound experimental methodology is a third keypoint.
Human Rights and the Moral Responsibilities of Corporate and Public Sector Organisations
All students and advocates of human rights will be interested in this concerted exploration of the human rights moral obligations that fall, not directly on states, but on private and public organisations. Such an approach to human rights opens up the possibility of holding corporations and bureaucracies to account for human rights violations even when they have acted in accordance with the law. This interdisciplinary and international project brings together eminent philosophers, lawyers, social scientists and practitioners to articulate theoretically and develop in practical contexts the moral implications of human rights for non-state actors. What emerges from the book as a whole is a distinctive contemporary vision of the emerging moral impact of human rights and its significance for organisational behaviour and performance.
Human resource management : An update
Human resource management - an update deals with the major theoretical and practical issues of managing people in different kinds of businesses in different countries around the world. chapters address such topics as theoretical bases for human resource management in the new work age, performance management and organizational management, leadership and job analysis, diversity, work–life balance, and sexual harassment, among others.
Human nutrition : University of Hawai‘i at Mānoa food science and human nutrition Program
A nutrition resource that reflects the diverse dietary patterns of people in Hawai‘i and the greater Pacific. Using the ‘ōlelo no‘eau, or Hawaiian proverb, stated above, we believe that the prin-ciples of nutrition should be taught through the context of our communities and environ-ments.
Human motion : Understanding, modeling, capture and animation
Edward Muybridge (1830–1904) is known as the pioneer in motion capt- ing with his famous experiments in 1887 called “Animal Locomotion”. Since then, the feld of animal or human motion analysis has grown in many dir- tions. However, research and results that involve human-like animation and the recovery of motion is still far from being satisfactory. Progress in human motion analysis depends on empirically anchored and grounded research in computer vision, computer graphics, and biomechanics. This book is based on a June 2006 workshop held in Dagstuhl, Germany. This workshop brought together for the frst time researchers from the afo- mentioned disciplines.
Human interactive proofs ; 2nd International workshop, HIP 2005, Bethlehem, PA, USA, May 19-20, 2005, Proceedings
Constitutes the refereed proceedings of the Second International Workshop on Human Interactive Proofs, HIP 2005, held in Bethlehem, PA, USA in May 2005. This book is devoted to the new class of security protocols called human interactive proofs. It includes sections such as: CAPTCHAs and performance analysis, and HIP architectures.
Human Ear Recognition by Computer
Human Ear Recognition by Computer is the first book on the automatic recognition of human ears. It presents an entire range of computational algorithms for recognition of humans by their ears. These algorithms have been tested and validated on the largest databases that are available today,This state-of-the-art research reference explores all aspects of 3D ear recognition, including representation, detection, recognition, indexing and performance prediction. It has been written for a professional audience of both researchers and practitioners within industry, and is also ideal as an informative text for graduate students in computer science and engineering.
