Expert-generated Data
Expert-generated Data

Author: Gerald W. Hopple

Publisher: Routledge

Published: 2020-12-17

Total Pages: 321

ISBN-13: 0429708394

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In the aftermath of the "explosion" of "hard" data sets in the 1960s for the study of international relations, there has been a movement back toward the use of various experts to quantify the more elusive aspects of the international situation. These aspects range from the beliefs and perceptions of decision makers to the array of stresses that confront nation-states both internally and externally. This volume reflects the most recent and innovative work in the use of data generated by academic, policy, and other experts. The authors discuss expert-generated data as a means of data making, data refinement, and policy analysis. They present all of the major expert-based approaches and offer a variety of methodological and substantive applications.

Human-in-the-Loop Machine Learning
Human-in-the-Loop Machine Learning

Author: Robert Munro

Publisher: Simon and Schuster

Published: 2021-07-20

Total Pages: 422

ISBN-13: 1617296740

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Machine learning applications perform better with human feedback. Keeping the right people in the loop improves the accuracy of models, reduces errors in data, lowers costs, and helps you ship models faster. Human-in-the-loop machine learning lays out methods for humans and machines to work together effectively. You'll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You'll learn to dreate training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows.

Structured Analytic Techniques for Intelligence Analysis
Structured Analytic Techniques for Intelligence Analysis

Author: Richards J. Heuer

Publisher: CQ Press

Published: 2011

Total Pages: 361

ISBN-13: 1608710181

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This book takes the relatively new concept of structured analytic techniques and defines its place in a taxonomy of analytic methods. It describes 50 techniques divided into eight categories, each corresponding. to a book chapter. These techniques are especially needed in the field of intelligence analysis where analysts typically deal with incomplete, ambiguous and sometimes deceptive information.

Data Driven Approaches in Digital Education
Data Driven Approaches in Digital Education

Author: Élise Lavoué

Publisher: Springer

Published: 2017-09-04

Total Pages: 635

ISBN-13: 331966610X

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This book constitutes the proceedings of the 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, held in Tallinn, Estonia, in September 2017. The 24 full papers, 23 short papers, 6 demo papers, and 22 poster papers presented in this volume were carefully reviewed and selected from 141 submissions. The theme for the 12th EC-TEL conference on Data Driven Approaches in Digital Education' aims to explore the multidisciplinary approaches thateectively illustrate how data-driven education combined with digital education systems can look like and what are the empirical evidences for the use of datadriven tools in educational practices.

Structured Analytic Techniques for Intelligence Analysis
Structured Analytic Techniques for Intelligence Analysis

Author: Randolph H. Pherson

Publisher: CQ Press

Published: 2019-12-05

Total Pages: 385

ISBN-13: 1506368948

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"Excellent publication for the study of intelligence analysis, structured analytical techniques and their application in this increasingly dangerous environment. A must read for anyone entering the intelligence community as an analyst, practitioner, stakeholder and leader." —Charles E. Wilson, University of Detroit Mercy The Third Edition of Structured Analytic Techniques for Intelligence Analysis showcases sixty-six structured analytic techniques—nine new to this edition—that represent the most current best practices in intelligence, law enforcement, homeland security, and business analysis. With more depth, detail, and utility than existing handbooks, each technique is clearly and systematically explained. Logically organized and richly illustrated, and with spiral binding and tabs that separate techniques into categories, this book is an easy-to-use, comprehensive reference.

Expert Systems for Scanner Data Environments
Expert Systems for Scanner Data Environments

Author: John M. McCann

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 226

ISBN-13: 9401139237

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This book is about the role of expert systems in marketing, particularly in the consumer goods industry. Section I describes the changing nature of consumer marketing and presents the rationale and need for expert systems. The remainder of the book combines a tutorial on expert systems with a series of expert system prototypes. The tutorial material is presented in three places. First, section II is devoted to introducing expert systems in general. Chapter 3 provides a general introduction to the topic, which is continued in chapter 4 where a small expert system (the Promotion Advisor) is used to illustrate the important features of a backward-chaining, rule-based system. The promotion theme is extended in chapter 5 where a larger system is presented. The material in all three of these chapters was designed as an introduction and tutorial on the most common technology for building applied expert systems: the backward-chaining, rule-based inference engine. Tutorial material is also contained in the body of the chapters that describe the prototypes. This material is usually in the form of sample rules and a description of the process for applying the rules. The third location of the expert system material is in chapters that follow discussions of the prototypes. Chapter 7 is a technical chapter on the coupling of expert systems to traditional systems.

Doing Research
Doing Research

Author: Daniel Druckman

Publisher: SAGE Publications

Published: 2005-03-16

Total Pages: 409

ISBN-13: 1452241309

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An award-winning book, Doing Research is a must read. Designed for students across a variety of social science disciplines, it is the first research methods text devoted to conflict analysis and resolution. It begins with a discussion of the philosophical foundations for doing research, providing guidelines on how to develop research questions and how these questions can be addressed with various methodologies. The book presents a wide-ranging treatment of both quantitative and qualitative approaches to the design and analysis of problems of conflict.

Advances in Intelligent Data Analysis. Reasoning about Data
Advances in Intelligent Data Analysis. Reasoning about Data

Author: Xiaohui Liu

Publisher: Springer

Published: 2006-06-08

Total Pages: 605

ISBN-13: 3540695206

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This book constitutes the refereed proceedings of the Second International Symposium on Intelligent Data Analysis, IDA-97, held in London, UK, in August 1997. The volume presents 50 revised full papers selected from a total of 107 submissions. Also included is a keynote, Intelligent Data Analysis: Issues and Opportunities, by David J. Hand. The papers are organized in sections on exploratory data analysis, preprocessing and tools; classification and feature selection; medical applications; soft computing; knowledge discovery and data mining; estimation and clustering; data quality; qualitative models.

Expert Systems
Expert Systems

Author: Cornelius T. Leondes

Publisher: Elsevier

Published: 2001-09-26

Total Pages: 2125

ISBN-13: 0080531458

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This six-volume set presents cutting-edge advances and applications of expert systems. Because expert systems combine the expertise of engineers, computer scientists, and computer programmers, each group will benefit from buying this important reference work. An "expert system" is a knowledge-based computer system that emulates the decision-making ability of a human expert. The primary role of the expert system is to perform appropriate functions under the close supervision of the human, whose work is supported by that expert system. In the reverse, this same expert system can monitor and double check the human in the performance of a task. Human-computer interaction in our highly complex world requires the development of a wide array of expert systems. Expert systems techniques and applications are presented for a diverse array of topics including Experimental design and decision support The integration of machine learning with knowledge acquisition for the design of expert systems Process planning in design and manufacturing systems and process control applications Knowledge discovery in large-scale knowledge bases Robotic systems Geograhphic information systems Image analysis, recognition and interpretation Cellular automata methods for pattern recognition Real-time fault tolerant control systems CAD-based vision systems in pattern matching processes Financial systems Agricultural applications Medical diagnosis