Expert Generated Data
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Author | : Gerald W. Hopple |
Publisher | : Routledge |
Total Pages | : 321 |
Release | : 2020-12-17 |
Genre | : Political Science |
ISBN | : 0429708394 |
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.
Author | : Robert Munro |
Publisher | : Simon and Schuster |
Total Pages | : 422 |
Release | : 2021-07-20 |
Genre | : Computers |
ISBN | : 1617296740 |
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.
Author | : Richards J. Heuer |
Publisher | : CQ Press |
Total Pages | : 361 |
Release | : 2011 |
Genre | : Political Science |
ISBN | : 1608710181 |
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.
Author | : Sebastian Breker |
Publisher | : Infinite Study |
Total Pages | : 10 |
Release | : |
Genre | : |
ISBN | : |
The use of expert knowledge is always more or less afflicted with uncertainties for many reasons: Expert knowledge may be imprecise, imperfect, or erroneous, for instance. If we ask several experts to label data (e.g., to assign class labels to given data objects, i.e. samples), we often state that these experts make different, sometimes conflicting statements.
Author | : Joshua Millspaugh |
Publisher | : Academic Press |
Total Pages | : 736 |
Release | : 2011-04-28 |
Genre | : Science |
ISBN | : 0080920160 |
A single-resource volume of information on the most current and effective techniques of wildlife modeling, Models for Planning Wildlife Conservation in Large Landscapes is appropriate for students and researchers alike. The unique blend of conceptual, methodological, and application chapters discusses research, applications and concepts of modeling and presents new ideas and strategies for wildlife habitat models used in conservation planning. The book makes important contributions to wildlife conservation of animals in several ways: (1) it highlights historical and contemporary advancements in the development of wildlife habitat models and their implementation in conservation planning; (2) it provides practical advice for the ecologist conducting such studies; and (3) it supplies directions for future research including new strategies for successful studies.Intended to provide a recipe for successful development of wildlife habitat models and their implementation in conservation planning, the book could be used in studying wildlife habitat models, conservation planning, and management techniques. Additionally it may be a supplemental text in courses dealing with quantitative assessment of wildlife populations. Additionally, the length of the book would be ideal for graduate student seminar course.Using wildlife habitat models in conservation planning is of considerable interest to wildlife biologists. With ever tightening budgets for wildlife research and planning activities, there is a growing need to use computer methods. Use of simulation models represents the single best alternative. However, it is imperative that these techniques be described in a single source. Moreover, biologists should be made aware of alternative modeling techniques. It is also important that practical guidance be provided to biologists along with a demonstration of utility of these procedures. Currently there is little guidance in the wildlife or natural resource planning literature on how best to incorporate wildlife planning activities, particularly community-based approaches. Now is the perfect time for a synthestic publication that clearly outlines the concepts and available methods, and illustrates them. - Only single resource book of information not only on various wildlife modeling techniques, but also with practical guidance on the demonstrated utility of each based on real-world conditions. - Provides concepts, methods and applications for wildlife ecologists and others within a GIS context. - Written by a team of subject-area experts
Author | : Janet L. Starkes |
Publisher | : Human Kinetics |
Total Pages | : 488 |
Release | : 2003 |
Genre | : Education |
ISBN | : 9780736041522 |
Grade level: 10, 11, 12, i, s, t.
Author | : Urs Schmidhalter |
Publisher | : Frontiers Media SA |
Total Pages | : 399 |
Release | : 2021-08-10 |
Genre | : Science |
ISBN | : 2889711595 |
Author | : H. Fujita |
Publisher | : IOS Press |
Total Pages | : 744 |
Release | : 2022-10-11 |
Genre | : Computers |
ISBN | : 1643683179 |
The integration of applied intelligence with software has been an essential enabler for science and the new economy, creating new possibilities for a more reliable, flexible and robust society. But current software methodologies, tools, and techniques often fall short of expectations, and are not yet sufficiently robust or reliable for a constantly changing and evolving market. This book presents the proceedings of SoMeT_22, the 21st International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques, held from 20 - 22 September 2022 in Kitakyushu, Japan. The SoMeT conference provides a platform for the exchange of ideas and experience in the field of software technology, with the emphasis on human-centric software methodologies, end-user development techniques, and emotional reasoning for optimal performance. The 58 papers presented here were each carefully reviewed by 3 or 4 referees for technical soundness, relevance, originality, significance and clarity, they were then revised before being selected by the international reviewing committee. The papers are arranged in 9 chapters: software systems with intelligent design; software systems security and techniques; formal techniques for system software and quality assessment; applied intelligence in software; intelligent decision support systems; cyber-physical systems; knowledge science and intelligent computing; ontology in data and software; and machine learning in systems software. The book assembles the work of scholars from the international research community to capture the essence of the new state-of-the-art in software science and its supporting technology, and will be of interest to all those working in the field.
Author | : Bear F. Braumoeller |
Publisher | : Cambridge University Press |
Total Pages | : 303 |
Release | : 2013-02-11 |
Genre | : Political Science |
ISBN | : 1139560441 |
Do great leaders make history? Or are they compelled to act by historical circumstance? This debate has remained unresolved since Thomas Carlyle and Karl Marx framed it in the mid-nineteenth century, yet implicit answers inform our policies and our views of history. In this book, Professor Bear F. Braumoeller argues persuasively that both perspectives are correct: leaders shape the main material and ideological forces of history that subsequently constrain and compel them. His studies of the Congress of Vienna, the interwar period, and the end of the Cold War illustrate this dynamic, and the data he marshals provide systematic evidence that leaders both shape and are constrained by the structure of the international system.
Author | : Mark Liu |
Publisher | : CRC Press |
Total Pages | : 408 |
Release | : 2024-08-27 |
Genre | : Computers |
ISBN | : 1040103944 |
May 11, 1997, was a watershed moment in the history of artificial intelligence (AI): the IBM supercomputer chess engine, Deep Blue, beat the world Chess champion, Garry Kasparov. It was the first time a machine had triumphed over a human player in a Chess tournament. Fast forward 19 years to May 9, 2016, DeepMind’s AlphaGo beat the world Go champion Lee Sedol. AI again stole the spotlight and generated a media frenzy. This time, a new type of AI algorithm, namely machine learning (ML) was the driving force behind the game strategies. What exactly is ML? How is it related to AI? Why is deep learning (DL) so popular these days? This book explains how traditional rule-based AI and ML work and how they can be implemented in everyday games such as Last Coin Standing, Tic Tac Toe, or Connect Four. Game rules in these three games are easy to implement. As a result, readers will learn rule-based AI, deep reinforcement learning, and more importantly, how to combine the two to create powerful game strategies (the whole is indeed greater than the sum of its parts) without getting bogged down in complicated game rules. Implementing rule-based AI and ML in these straightforward games is quick and not computationally intensive. Consequently, game strategies can be trained in mere minutes or hours without requiring GPU training or supercomputing facilities, showcasing AI's ability to achieve superhuman performance in these games. More importantly, readers will gain a thorough understanding of the principles behind rule-based AI, such as the MiniMax algorithm, alpha-beta pruning, and Monte Carlo Tree Search (MCTS), and how to integrate them with cutting-edge ML techniques like convolutional neural networks and deep reinforcement learning to apply them in their own business fields and tackle real-world challenges. Written with clarity from the ground up, this book appeals to both general readers and industry professionals who seek to learn about rule-based AI and deep reinforcement learning, as well as students and educators in computer science and programming courses.