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This book deals with decision making in environments of significant data un certainty, with particular emphasis on operations and production management applications. For such environments, we suggest the use of the robustness ap proach to decision making, which assumes inadequate knowledge of the decision maker about the random state of nature and develops a decision that hedges against the worst contingency that may arise. The main motivating factors for a decision maker to use the robustness approach are: • It does not ignore uncertainty and takes a proactive step in response to the fact that forecasted values of uncertain parameters will not occur in most environments; • It applies to decisions of unique, non-repetitive nature, which are common in many fast and dynamically changing environments; • It accounts for the risk averse nature of decision makers; and • It recognizes that even though decision environments are fraught with data uncertainties, decisions are evaluated ex post with the realized data. For all of the above reasons, robust decisions are dear to the heart of opera tional decision makers. This book takes a giant first step in presenting decision support tools and solution methods for generating robust decisions in a variety of interesting application environments. Robust Discrete Optimization is a comprehensive mathematical programming framework for robust decision making.
Numerical methods of optimisation --- Operational research. Game theory --- 519.86 --- Theory of economic-mathematical models --- Mathematical optimization. --- 519.86 Theory of economic-mathematical models --- Mathematical optimization --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Operations research. --- Decision making. --- Production management. --- Algorithms. --- Optimization. --- Operations Research/Decision Theory. --- Operations Management. --- Algorism --- Algebra --- Arithmetic --- Manufacturing management --- Industrial management --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Foundations --- Decision making
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This pioneering book addresses the latest research findings and application results on disruption management, which is the study of how to dynamically recover a predetermined operational plan when various disruptions prevent the original plan from being executed smoothly.
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This book will provide a comprehensive overview on human action analysis with randomized trees. It will cover both the supervised random trees and the unsupervised random trees. When there are sufficient amount of labeled data available, supervised random trees provides a fast method for space-time interest point matching. When labeled data is minimal as in the case of example-based action search, unsupervised random trees is used to leverage the unlabelled data. We describe how the randomized trees can be used for action classification, action detection, action search, and action prediction. We will also describe techniques for space-time action localization including branch-and-bound sub-volume search and propagative Hough voting.
Engineering. --- Signal, Image and Speech Processing. --- Image Processing and Computer Vision. --- Probability Theory and Stochastic Processes. --- Computer vision. --- Distribution (Probability theory). --- Ingénierie --- Vision par ordinateur --- Distribution (Théorie des probabilités) --- Discriminant analysis. --- Human behavior -- Research. --- Regression analysis. --- Trees (Graph theory). --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Telecommunications --- Electrical Engineering --- Applied Physics --- Trees (Graph theory) --- Human behavior --- Research. --- Action, Human --- Behavior, Human --- Ethology --- Human action --- Human beings --- Behavior --- Image processing. --- Probabilities. --- Human biology --- Physical anthropology --- Psychology --- Social sciences --- Psychology, Comparative --- Graph theory --- Distribution (Probability theory. --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Signal processing. --- Speech processing systems. --- Optical data processing. --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Optical equipment
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Carangidae. --- Jacks (Fish) --- Juvenellidae --- Seriolidae --- Perciformes
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This book will provide a comprehensive overview on human action analysis with randomized trees. It will cover both the supervised random trees and the unsupervised random trees. When there are sufficient amount of labeled data available, supervised random trees provides a fast method for space-time interest point matching. When labeled data is minimal as in the case of example-based action search, unsupervised random trees is used to leverage the unlabelled data. We describe how the randomized trees can be used for action classification, action detection, action search, and action prediction. We will also describe techniques for space-time action localization including branch-and-bound sub-volume search and propagative Hough voting.
Operational research. Game theory --- Probability theory --- Computer. Automation --- DIP (documentimage processing) --- beeldverwerking --- waarschijnlijkheidstheorie --- spraaktechnologie --- stochastische analyse --- kansrekening --- signaalverwerking
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This book highlights the ontogenetic development of larval T. ovatus, provides a comprehensive overview of larval rearing of this species. It focuses on the physiological and molecular changes during the early ontogeny of T. ovatus and hatchery and nursery practices. The first seven chapters update the recent development in the hatchery technology in T. ovatus, including feed and feeding, environmental manipulation, hatchery management, and fingerlings in transportation. Chapter eight and onwards decode the possible molecular mechanisms underlying fish development and response to environmental changes and discuss the transcription and expressions of growth and development-related genes in T. ovatus. The last chapters discuss the functional feed additives to the diet and antibiotic usage of T. ovatus juveniles. This book is a valuable resource for researchers, practitioners and students in the aquaculture industry and related fields.
General embryology. Developmental biology --- Histology. Cytology --- Vertebrates --- vertebraten --- cytologie --- embryologie (geneeskunde) --- histologie
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Carangidae. --- Jacks (Fish) --- Juvenellidae --- Seriolidae --- Perciformes
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