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Books on the topic 'Processing Efficiency Theory'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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1

Huang, Chongfu. Towards efficient fuzzy information processing: Using the principle of information diffusion. Heidelberg: Physica-Verlag, 2002.

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2

Baeza-Yates, R. Efficient text searching of regular expressions. Waterloo, Ont: UW Centre for the New Oxford English Dictionary, 1989.

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3

Gonnet, G. H. Efficient searching of text and pictures: Extended abstract. Waterloo, Ont: UW Centre for the New Oxford English Dictionary, 1988.

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4

Wallace, Thomas Henry. Improving the computational efficiency of subspace algorithms for frequency estimation of sinusoidal signals. 1994.

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5

Perrig, Walter J., and Alexander Grob. Control of Human Behavior, Mental Processes, and Consciousness: Essays in Honor of the 60th Birthday of August Flammer. Taylor & Francis Group, 2014.

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6

August, Flammer, Perrig Walter J, and Grob Alexander 1958-, eds. Control of human behavior, mental processes, and consciousness: Essays in honor of the 60th birthday of August Flammer. Mahwah, N.J: Lawrence Erlbaum Associates, 2000.

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7

(Editor), Walter J. Perrig, and Alexander Grob (Editor), eds. Control of Human Behavior, Mental Processes, and Consciousness: Essays in Honor of the 60th Birthday of August Flammer. Lawrence Erlbaum, 2000.

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8

Huang, Chongfu, and Yong Shi. Towards Efficient Fuzzy Information Processing. Physica-Verlag Heidelberg, 2002.

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9

Yaroslavsky, Leonid, ed. Fast Transform Methods in Digital Signal Processing Theory Applications Efficient Algorithms. BENTHAM SCIENCE PUBLISHERS, 2012. http://dx.doi.org/10.2174/97816080523011110101.

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10

Computational Methods In Nonlinear Analysis Efficient Algorithms Fixed Point Theory And Applications. World Scientific Publishing Company, 2013.

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11

Electro-optical design for efficient visual communication. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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12

Tuckett, David. Conviction Narrative Theory and Understanding Decision-Making in Economics and Finance. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198820802.003.0003.

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This chapter describes the radically uncertain context faced by money managers and how they cope by developing conviction narratives. It then generalizes these findings to introduce a wider theory of decision-making under radical uncertainty, termed Conviction Narrative Theory (CNT). CNT differs from standard approaches to decision-making in economics and behavioural psychology that are limited to theories of efficient and inefficient information processing in contexts where data is available to calculate future probabilities. In radical uncertainty, we cannot know which bits of information are useful. CNT explains the human capacity to cope despite this situation: actors organize their experience through narratives and use the emotions attaching to them to feel the conviction to act. In effect, CNT operationalizes Keynes’ (1936) formulation of animal spirits as a human solution to radical uncertainty; and it provides more plausible and empirically substantiated microfoundations on which to build understanding of aggregate economic outcomes, the development of monocultures, and financial market instability.

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13

Karttunen, Lauri. Finite-State Technology. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0018.

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The article introduces the basic concepts of finite-state language processing: regular languages and relations, finite-state automata, and regular expressions. Many basic steps in language processing, ranging from tokenization, to phonological and morphological analysis, disambiguation, spelling correction, and shallow parsing, can be performed efficiently by means of finite-state transducers. The article discusses examples of finite-state languages and relations. Finite-state networks can represent only a subset of all possible languages and relations; that is, only some languages are finite-state languages. Furthermore, this article introduces two types of complex regular expressions that have many linguistic applications, restriction and replacement. Finally, the article discusses the properties of finite-state automata. The three important properties of networks are: that they are epsilon free, deterministic, and minimal. If a network encodes a regular language and if it is epsilon free, deterministic, and minimal, the network is guaranteed to be the best encoding for that language.

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14

Scolari, Miranda, Edward F. Ester, and John T. Serences. Feature- and Object-Based Attentional Modulation in the Human Visual System. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.009.

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To increase efficiency, sensory systems process only a subset of available inputs in accord with the behavioural goals of the observer. The mechanisms that support the prioritization of relevant over irrelevant stimuli, referred to collectively as selective attention, can operate on the basis of spatial location (space-based attention), low-level visual features (e.g. orientation or colour; feature-based attention), or holistic objects (object-based attention). This chapter reviews human behavioural, electrophysiological, and neuroimaging data pertaining to the effects and control of the latter two mechanisms. Based on an increasingly rich literature spanning several decades, the authors argue that even though feature- and object-based attention are often treated as independent mechanisms, they should instead be described along a single continuum in which the information selected for prioritized processing (whether it be a single feature or a holistic object representation) is flexibly dictated by task demands.

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15

Sweedman, Luke, and David Merritt. Australian Seeds. CSIRO Publishing, 2006. http://dx.doi.org/10.1071/9780643094079.

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This is the first complete guide to the collection, processing and storage of wild collected seed. While the main focus is on Australian seeds, the procedures and protocols described within the book are of international standard and apply to users throughout the world. The book provides a basic understanding to seed biology, evolution and morphology, and includes chapters on all aspects of harvesting, processing and storage of seeds. This will enable users to collect, process and store seed more efficiently, thus reducing loss of seed viability during the storage process with potentially huge savings in time, effort and expense in the rehabilitation and restoration industries. With a strong emphasis on the species-rich Western Australian region, Australian Seeds features photographs of more than 1200 species showing clearly their size and shape. Comprehensive seed germination data enables users to know how long to allow for germination times and whether some form of pre-germination treatment is required and what this should be. This is of major importance to horticulturists and agriculturists planning crop and weed control programmes. It will also be a valuable resource to anyone interested in Australian flora.

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16

Oulasvirta, Antti, Per Ola Kristensson, Xiaojun Bi, and Andrew Howes, eds. Computational Interaction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.001.0001.

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This book presents computational interaction as an approach to explaining and enhancing the interaction between humans and information technology. Computational interaction applies abstraction, automation, and analysis to inform our understanding of the structure of interaction and also to inform the design of the software that drives new and exciting human-computer interfaces. The methods of computational interaction allow, for example, designers to identify user interfaces that are optimal against some objective criteria. They also allow software engineers to build interactive systems that adapt their behaviour to better suit individual capacities and preferences. Embedded in an iterative design process, computational interaction has the potential to complement human strengths and provide methods for generating inspiring and elegant designs. Computational interaction does not exclude the messy and complicated behaviour of humans, rather it embraces it by, for example, using models that are sensitive to uncertainty and that capture subtle variations between individual users. It also promotes the idea that there are many aspects of interaction that can be augmented by algorithms. This book introduces computational interaction design to the reader by exploring a wide range of computational interaction techniques, strategies and methods. It explains how techniques such as optimisation, economic modelling, machine learning, control theory, formal methods, cognitive models and statistical language processing can be used to model interaction and design more expressive, efficient and versatile interaction.

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17

Shankland, Gillian S. Microscopy and culture of fungal disease. Edited by Christopher C. Kibbler, Richard Barton, Neil A. R. Gow, Susan Howell, Donna M. MacCallum, and Rohini J. Manuel. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198755388.003.0039.

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The clinical mycological laboratory strives to provide an accurate and rapid diagnosis of suspected fungal disease, or exclude its possibility. The most common and most traditional methods for demonstrating fungi in tissue and body fluids are microscopy and culture. The techniques discussed in this chapter are not exhaustive but have proved to be efficient for the visualization and recovery of fungi from clinical samples. In general, these methods do not require expensive or specialist equipment. The clinician’s presumptive diagnosis may help with the selection of the most appropriate specimen and aid the laboratory in the method of processing and selection of the primary culture media. However, all too often there is scant clinical information provided to the laboratory, and indeed a fungal infection may initially not have been suspected.

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18

Karpova, Nina N. Pharmacological Adjuncts and Evidence-Supported Treatments for Trauma. Edited by Sara Maltzman. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199739134.013.32.

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A large proportion of humans experienced a traumatic event in their lifetime, with more than 10% developing posttraumatic stress disorder (PTSD), panic disorder, phobias, and other fear/anxiety disorders. The neural circuitry of fear responses is highly conserved in humans as well as rodents, and this allows for translational research using animal models of fear. Fear/anxiety disorders in humans are most efficiently treated by exposure-based psychotherapy (i.e., cognitive behavioral therapy; CBT), the main aspects of which are closely modeled by extinction training in Pavlovian fear conditioning and extinction paradigms in rodents. To improve the efficacy of psychotherapy, pharmacological agents potent for enhancing learning and memory consolidation processing should be developed to combine with exposure-based therapy. The purpose of these adjunctive pharmacological agents is to promote fear memory erasure and the consolidation of extinction memories, thus providing a combined treatment of increased effectiveness. This review discusses established pharmacological adjuncts to behavioral therapeutic interventions for fear/anxiety disorders. The mechanisms of action of these adjuncts, as well as the evidence for and against the pharmacological treatment strategies and their limitations are discussed.

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