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 11 11 17 21 24 24 25 26 27 28 29 33
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Cataloging-in-Publication Data Rao, Madanmohan. KM tools and 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
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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 Policy (paras 2-21p and 2-22k.) o Rescinds paragraphs 2-6r, 2-46ac, and G-14e.) o Makes administrative changes (app A: marked obsolete forms and publications; corrected forms and publication titles; and corrected Web site addresses; glossary: deleted unused acronyms and corrected
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simple theory, as opposed to inferring causality. I have found that spending time talking about these examples, in place of a formal review of probability and statistics, is more successful (and more enjoyable for the students and me). 3 CHAPTER 2 TEACHING NOTES This is the chapter where I expect students to follow most, if not all, of the algebraic derivations. In class I like to derive at least the unbiasedness of the OLS slope coefficient, and usually I derive the variance. At a minimum, I
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simple theory, as opposed to inferring causality. I have found that spending time talking about these examples, in place of a formal review of probability and statistics, is more successful (and more enjoyable for the students and me). 3 CHAPTER 2 TEACHING NOTES This is the chapter where I expect students to follow most, if not all, of the algebraic derivations. In class I like to derive at least the unbiasedness of the OLS slope coefficient, and usually I derive the variance. At a minimum, I
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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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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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Literature review of risk factors and interventions. POSTPARTUM DEPRESSION: LITERATURE REVIEW OF RISK FACTORS AND INTERVENTIONS Table of Contents EXECUTIVE SUMMARY 2 OVERALL METHODOLOGICAL FRAMEWORK 5 CHAPTER 1: RISK FACTORS FOR POSTPARTUM DEPRESSION 9 Emma Robertson PhD, Nalan Celasun PhD, Donna E. Stewart MD FRCPC CHAPTER 2: DETECTION, PREVENTION AND TREATMENT OF POSTPARTUM DEPRESSION 71 Cindy-Lee Dennis RN PhD CHAPTER 3: THE EFFECT OF POSTPARTUM DEPRESSION ON THE MOTHER-INFANT RELATIONSHIP
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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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ORGANIZATIONAL BEHAVIOR CONCEPTS CONTROVERSIES APPLICATIONS Seventh Edition Stephen P. Robbins 1996 Contents Part One • Introduction Chapter 1 What Is Organizational Behavior? 2 Chapter 2 Responding to Global and Cultural Diversity 42 Part Two • The Individual Chapter 3 Foundations of Individual Behavior 80 Chapter 4 Perception and Individual Decision Making 130 Chapter 5 Values, Attitudes, and Job Satisfaction 172 Chapter 6 Basic Motivation Concepts 210 Chapter 7 Motivation: From Concepts
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