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Author: Mykel J. Kochenderfer Publisher: MIT Press ISBN: 0262047012 Category : Computers Languages : en Pages : 701
Book Description
A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented.
Author: Mykel J. Kochenderfer Publisher: MIT Press ISBN: 0262047012 Category : Computers Languages : en Pages : 701
Book Description
A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented.
Author: Rick Viscomi Publisher: "O'Reilly Media, Inc." ISBN: 1491902817 Category : Computers Languages : en Pages : 213
Book Description
Learn basic and advanced uses of WebPagetest, the performance measurement tool for optimizing websites. This practical guide shows users new to this tool how run tests and interpret results, and helps experienced users gain a better and more thorough understanding of hidden features in WebPagetest that make testing easier. Written by WebPagetest power users and performance experts, this book will help web developers and frontend engineers solve the problem of slow sites. Topics include: Basic test setup—shows beginners how to get meaningful results Advanced test setup—provides another level of technical depth by explaining features not thoroughly documented at webpagetest.org Analysis of results—helps you understand of how to interpret test results Private instance setup—teaches power users the intricacies of the webpagetest private instance and how it works API and external tools—provides a detailed reference for the API and demonstrates tools already using the API to extend WebPagetest
Author: Publisher: ISBN: Category : Languages : en Pages : 88
Book Description
For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network.
Author: Heather L. Schwartz Publisher: Rand Corporation ISBN: 0833094742 Category : Education Languages : en Pages : 0
Book Description
The report categorizes school safety technologies, summarizes research on school violence, presents six case studies of innovative technologies, and summarizes experts' views of technologies and safety problems and their rankings of technology needs.
Author: Philip Tsang Publisher: World Scientific ISBN: 9812772723 Category : Education Languages : en Pages : 292
Book Description
This volume provides an up-to-date study of theory and practice on the importance of technology in teaching and learning. The contributions are carefully peer-reviewed from over 100 submissions to the International Conference on Teaching and Learning 2006, held in Hong Kong. Sample Chapter(s). Chapter 1: Faculty Perceptions of ICT Benefits (391 KB). Contents: Faculty Perceptions of ICT Benefits (R Fox et al.); Thinking about Thinking Online (K Downing et al.); Teacher''s Sharing Pedagogical Experiences in a Learning Environment that Supports Self-Regulated Learning (G Dettori et al.); Online Interaction: Trying to Get It Right (L Chow and R Sharman); Crossing Borders: How Cross-Cultural Videoconferencing can Satisfy Course Goals in Dissimilar Subjects (J S Wilkinson & A-L Wang); The Evaluation of Information and Communication Technology Use in Professional Schools (P Gabor & C Ing); Using Technology in Education: The Application of Data Mining (K H Chye et al.); A Comparison of WebCT, Blackboard and Moddle for the Teaching and Learning of Continuing Education Courses (K S Cheung); The Object-Oriented Database Application and the System Architecture of a National Learning Objects Repository for Cyprus (P Pouyioutas et al.); and other papers. Readership: Graduate students, researchers and practitioners involved in the development and education of e-learning.
Author: D. Binu Publisher: Academic Press ISBN: 0128206160 Category : Science Languages : en Pages : 270
Book Description
Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI techniques, and their many real-world applications. This book is written by experienced engineers for engineers, biomedical engineers, and researchers in neural networks, as well as computer scientists with an interest in the area. Provides coverage of the fundamentals of Artificial Intelligence as applied to data mining, including computational intelligence and unsupervised learning methods for data clustering Presents coverage of key topics such as heuristic methods for data clustering, deep learning methods for data classification, and neural networks Includes case studies and real-world applications of AI techniques in data mining, for improved outcomes in clinical diagnosis, satellite data extraction, agriculture, security and defense
Author: Mykel J. Kochenderfer
Author: Mykel J. Kochenderfer
Author: Rick Viscomi
Author: 
Author: Heather L. Schwartz
Author: American Society for Engineering Education. Conference
Author: American Society for Engineering Education
Author: Philip Tsang
Author: 
Author: D. Binu
Author: Nancy J. Hafkin