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Download or read book Automation Devices, Inc. V. Smalenberger, Jr written by and published by . This book was released on 1965 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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ISBN 13 :
Total Pages : 152 pages
Book Rating : 4.W/5 ( download)
Download or read book Automation Devices, Inc. V. Smalenberger, Jr written by and published by . This book was released on 1965 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : United States. Supreme Court
Publisher :
ISBN 13 :
Total Pages : 848 pages
Book Rating : 4.3/5 (129 download)
Download or read book United States Reports written by United States. Supreme Court and published by . This book was released on 1966 with total page 848 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : United States. Supreme Court
Publisher :
ISBN 13 :
Total Pages : 1176 pages
Book Rating : 4.A/5 ( download)
Download or read book Journal Sup. Court, U.S. written by United States. Supreme Court and published by . This book was released on 1965 with total page 1176 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : United States. Supreme Court
Publisher :
ISBN 13 :
Total Pages : 1356 pages
Book Rating : 4.3/5 (91 download)
Download or read book United States Supreme Court Reports written by United States. Supreme Court and published by . This book was released on 1966 with total page 1356 pages. Available in PDF, EPUB and Kindle. Book excerpt: First series, books 1-43, includes "Notes on U.S. reports" by Walter Malins Rose.
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ISBN 13 :
Total Pages : 1290 pages
Book Rating : 4.F/5 ( download)
Download or read book Supreme Court Reporter written by and published by . This book was released on 1967 with total page 1290 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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ISBN 13 :
Total Pages : 872 pages
Book Rating : 4.:/5 (51 download)
Download or read book The United States Patents Quarterly written by and published by . This book was released on 1965 with total page 872 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Carl Edward Rasmussen
Publisher : MIT Press
ISBN 13 : 026218253X
Total Pages : 266 pages
Book Rating : 4.2/5 (621 download)
Download or read book Gaussian Processes for Machine Learning written by Carl Edward Rasmussen and published by MIT Press. This book was released on 2005-11-23 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms. A wide variety of covariance (kernel) functions are presented and their properties discussed. Model selection is discussed both from a Bayesian and a classical perspective. Many connections to other well-known techniques from machine learning and statistics are discussed, including support-vector machines, neural networks, splines, regularization networks, relevance vector machines and others. Theoretical issues including learning curves and the PAC-Bayesian framework are treated, and several approximation methods for learning with large datasets are discussed. The book contains illustrative examples and exercises, and code and datasets are available on the Web. Appendixes provide mathematical background and a discussion of Gaussian Markov processes.
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ISBN 13 :
Total Pages : 1088 pages
Book Rating : 4.:/5 (44 download)
Download or read book The Federal Reporter written by and published by . This book was released on 1965 with total page 1088 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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ISBN 13 :
Total Pages : 1368 pages
Book Rating : 4.3/5 (555 download)
Download or read book Chicago, Cook County, and Illinois Industrial Directory written by and published by . This book was released on 1973 with total page 1368 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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ISBN 13 :
Total Pages : 1500 pages
Book Rating : 4.3/5 (555 download)
Download or read book Chicago, Cook County & Illinois Industrial Directory written by and published by . This book was released on 1967 with total page 1500 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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ISBN 13 :
Total Pages : 84 pages
Book Rating : 4.3/5 (555 download)
Download or read book Chicago (Cook County) Industrial Directory written by and published by . This book was released on 1961 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Diederik M. Roijers
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681731827
Total Pages : 174 pages
Book Rating : 4.6/5 (817 download)
Download or read book Multi-Objective Decision Making written by Diederik M. Roijers and published by Morgan & Claypool Publishers. This book was released on 2017-04-20 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects. These objectives typically conflict, e.g., we can often increase the efficacy of the treatment, but at the cost of more severe side effects. In this book, we outline how to deal with multiple objectives in decision-theoretic planning and reinforcement learning algorithms. To illustrate this, we employ the popular problem classes of multi-objective Markov decision processes (MOMDPs) and multi-objective coordination graphs (MO-CoGs). First, we discuss different use cases for multi-objective decision making, and why they often necessitate explicitly multi-objective algorithms. We advocate a utility-based approach to multi-objective decision making, i.e., that what constitutes an optimal solution to a multi-objective decision problem should be derived from the available information about user utility. We show how different assumptions about user utility and what types of policies are allowed lead to different solution concepts, which we outline in a taxonomy of multi-objective decision problems. Second, we show how to create new methods for multi-objective decision making using existing single-objective methods as a basis. Focusing on planning, we describe two ways to creating multi-objective algorithms: in the inner loop approach, the inner workings of a single-objective method are adapted to work with multi-objective solution concepts; in the outer loop approach, a wrapper is created around a single-objective method that solves the multi-objective problem as a series of single-objective problems. After discussing the creation of such methods for the planning setting, we discuss how these approaches apply to the learning setting. Next, we discuss three promising application domains for multi-objective decision making algorithms: energy, health, and infrastructure and transportation. Finally, we conclude by outlining important open problems and promising future directions.
Author : Karan Girotra
Publisher : Harvard Business Review Press
ISBN 13 : 1422191540
Total Pages : 251 pages
Book Rating : 4.4/5 (221 download)
Download or read book The Risk-Driven Business Model written by Karan Girotra and published by Harvard Business Review Press. This book was released on 2014-06-10 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to outsmart risk Risk has been defined as the potential for losing something of value. In business, that value could be your original investment or your expected future returns. The Risk-Driven Business Model will help you manage risk better by showing how the key choices you make in designing your business models either increase or reduce two characteristic types of risk—information risk, when you make decisions without enough information, and incentive-alignment risk, when decision makers’ incentives are at odds with the broader goals of the company. Leaders who understand how the structure of their business model affects risk have the power to create wealth, revolutionize industries, and shape a better world. INSEAD’s Karan Girotra and Serguei Netessine, noted operations and innovation professors who have consulted with dozens of companies, walk you through a business model audit to determine what key decisions get made in a business, when they get made, who makes them, and why we make the decisions we do. By changing your company’s key decisions within this framework, you can fundamentally alter the risks that will impact your business. This book is for entrepreneurs and executives in companies involved in dynamic industries where the locus of risk is shifting, and includes lessons from Zipcar, Blockbuster, Apple, Benetton, Kickstarter, Walmart, and dozens of other global companies. The Risk-Driven Business Model demystifies business model risk, with clear directives aimed at improving decision making and driving your business forward.
Author : Parisa Eslambolchilar
Publisher : ACM Books
ISBN 13 : 9781450390262
Total Pages : 472 pages
Book Rating : 4.3/5 (92 download)
Download or read book Intelligent Computing for Interactive System Design written by Parisa Eslambolchilar and published by ACM Books. This book was released on 2021-02-25 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Computing for Interactive System Design provides a comprehensive resource on what has become the dominant paradigm in designing novel interaction methods, involving gestures, speech, text, touch and brain-controlled interaction, embedded in innovative and emerging human-computer interfaces. These interfaces support ubiquitous interaction with applications and services running on smartphones, wearables, in-vehicle systems, virtual and augmented reality, robotic systems, the Internet of Things (IoT), and many other domains that are now highly competitive, both in commercial and in research contexts. This book presents the crucial theoretical foundations needed by any student, researcher, or practitioner working on novel interface design, with chapters on statistical methods, digital signal processing (DSP), and machine learning (ML). These foundations are followed by chapters that discuss case studies on smart cities, brain-computer interfaces, probabilistic mobile text entry, secure gestures, personal context from mobile phones, adaptive touch interfaces, and automotive user interfaces. The case studies chapters also highlight an in-depth look at the practical application of DSP and ML methods used for processing of touch, gesture, biometric, or embedded sensor inputs. A common theme throughout the case studies is ubiquitous support for humans in their daily professional or personal activities. In addition, the book provides walk-through examples of different DSP and ML techniques and their use in interactive systems. Common terms are defined, and information on practical resources is provided (e.g., software tools, data resources) for hands-on project work to develop and evaluate multimodal and multi-sensor systems. In a series of in-chapter commentary boxes, an expert on the legal and ethical issues explores the emergent deep concerns of the professional community, on how DSP and ML should be adopted and used in socially appropriate ways, to most effectively advance human performance during ubiquitous interaction with omnipresent computers. This carefully edited collection is written by international experts and pioneers in the fields of DSP and ML. It provides a textbook for students and a reference and technology roadmap for developers and professionals working on interaction design on emerging platforms.
Author : Antonio J. Conejo
Publisher : Springer
ISBN 13 : 3319694073
Total Pages : 303 pages
Book Rating : 4.3/5 (196 download)
Download or read book Power System Operations written by Antonio J. Conejo and published by Springer. This book was released on 2017-12-05 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a detailed description of operation problems in power systems, including power system modeling, power system steady-state operations, power system state estimation, and electricity markets. The book provides an appropriate blend of theoretical background and practical applications, which are developed as working algorithms, coded in Octave (or Matlab) and GAMS environments. This feature strengthens the usefulness of the book for both students and practitioners. Students will gain an insightful understanding of current power system operation problems in engineering, including: (i) the formulation of decision-making models, (ii) the familiarization with efficient solution algorithms for such models, and (iii) insights into these problems through the detailed analysis of numerous illustrative examples. The authors use a modern, “building-block” approach to solving complex problems, making the topic accessible to students with limited background in power systems. Solved examples are used to introduce new concepts and each chapter ends with a set of exercises.
Author : Robert Phillips
Publisher : Stanford University Press
ISBN 13 : 0804781648
Total Pages : 470 pages
Book Rating : 4.8/5 (47 download)
Download or read book Pricing and Revenue Optimization written by Robert Phillips and published by Stanford University Press. This book was released on 2005-08-05 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first comprehensive introduction to the concepts, theories, and applications of pricing and revenue optimization. From the initial success of "yield management" in the commercial airline industry down to more recent successes of markdown management and dynamic pricing, the application of mathematical analysis to optimize pricing has become increasingly important across many different industries. But, since pricing and revenue optimization has involved the use of sophisticated mathematical techniques, the topic has remained largely inaccessible to students and the typical manager. With methods proven in the MBA courses taught by the author at Columbia and Stanford Business Schools, this book presents the basic concepts of pricing and revenue optimization in a form accessible to MBA students, MS students, and advanced undergraduates. In addition, managers will find the practical approach to the issue of pricing and revenue optimization invaluable. Solutions to the end-of-chapter exercises are available to instructors who are using this book in their courses. For access to the solutions manual, please contact [email protected].
