Includes bibliographical references and index. ISBN 978-0-262-01825-8 (hardcover : alk. paper) 1. Machine learning. 2. Computer algorithms. I. Rostamizadeh, Afshin. II. Talwalkar, Ameet. III. Title. Q325.5.M64 2012 006.3’1-dc23 2012007249 10 9 8 7 6 5 4 3 2 1 Contents Preface 1 Introduction 1.1 Applications and problems . 1.2 Definitions and terminology 1.3 Cross-validation . . . . . . . 1.4 Learning scenarios . . . . . 1.5 Outline . . . . . . . . . . . 2 The 2.1 2.2 2.3 2.4 xi 1 1 3 5 7 8
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Army Regulation 350–1 Training Army Training and Leader Development Rapid Action Revision (RAR) Issue Date: 4 August 2011 Headquarters Department of the Army Washington, DC 18 December 2009 UNCLASSIFIED SUMMARY of CHANGE AR 350–1 Army Training and Leader Development This rapid action revision, 4 September 2011-o Implements the Don’t Ask, Don’t Tell Repeal Act of 2010 by deleting all references to developing and conducting training concerning the Army’s Homosexual Conduct
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techniques : practitioners and experts evaluate KM solutions / Madanmohan Rao. p. cm. Includes bibliographical references and index. ISBN 0-7506-7818-6 (alk. paper) 1. Knowledge management. 2. Organizational learning. 3. Knowledge management—Data processing. 4. Management information systems. 5. Information resources management. 6. Database management. I. Title Knowledge management tools and techniques. II. Title. HD30.2.R356 2004 658.4¢038—dc22 2004050698 British Library
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Delivery and growth Royal Dutch Shell plc Annual Report and Form 20-F for the year ended December 31, 2007 Royal Dutch Shell Our Business With 104,000 employees in more than 110 countries and territories, Shell plays a key role in helping to meet the world’s growing demand for energy in economically, environmentally and socially responsible ways. Our Exploration & Production business searches for and recovers oil and natural gas around the world. Many of these activities are carried out as
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iCHAPTER 1 TEACHING NOTES You have substantial latitude about what to emphasize in Chapter 1. I find it useful to talk about the economics of crime example (Example 1.1) and the wage example (Example 1.2) so that students see, at the outset, that econometrics is linked to economic reasoning, if not economic theory. I like to familiarize students with the important data structures that empirical economists use, focusing primarily on cross-sectional and time series data sets, as these are what I cover
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CHAPTER 1 TEACHING NOTES You have substantial latitude about what to emphasize in Chapter 1. I find it useful to talk about the economics of crime example (Example 1.1) and the wage example (Example 1.2) so that students see, at the outset, that econometrics is linked to economic reasoning, if not economic theory. I like to familiarize students with the important data structures that empirical economists use, focusing primarily on cross-sectional and time series data sets, as these are what I cover
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Author Richard Serfozo Basic Probability Problems May 20, 2003 Springer Berlin Heidelberg NewYork Hong Kong London Milan Paris Tokyo 1 Elementary Concepts The subject of applied probability appears to be rather fragmented because problems involving randomness arise in many different contexts and they often require the use of ad hoc mathematical techniques. The subject has more underlying structure, however, than meets the eye. The set of notes before you describes this structure via
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milliards d'euros de chiffre d'affaires en 2008 contre 2,5 milliards pour le leader français Seb. En revanche, son résultat net a baissé de 35,2% en 2009. - Chiffre d'affaires 2010: 10,3 milliards d'euros - Résultat net 2010: 23 millions d'euros 4. Sinochem, dans le classement Fortune depuis seize ans Sinochem, entreprise de chimie fondée en 1950, est contrôlée directement par l'appareil d'Etat chinois. Elle peut se vanter d'être l'une des plus anciennes entreprises figurant au palmarès des 500
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PREVENTION AND TREATMENT OF POSTPARTUM DEPRESSION 71 Cindy-Lee Dennis RN PhD CHAPTER 3: THE EFFECT OF POSTPARTUM DEPRESSION ON THE MOTHER-INFANT RELATIONSHIP AND CHILD GROWTH AND DEVELOPMENT 197 Sherry L. Grace PhD, Stephanie Sansom MA CHAPTER 4: PUBLIC HEALTH INTERVENTIONS AND
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Illustrating How Mechanical Assemblies Work Niloy J. Mitra1,2 1 Yong-Liang Yang1 3 Dong-Ming Yan1,3 4 Wilmot Li4 5 Maneesh Agrawala5 Univ. of California, Berkeley KAUST 2 IIT Delhi Univ. of Hong Kong Adobe Systems (1) (2) (3) (4) (5) (6) motion analysis driver annotated illustration causal chain Figure 1: Given a geometric model of a mechanical assembly, we analyze it to infer how the individual parts move and interact with each other. The relations and motion parameters are encoded
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