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Book Structural Learning  Volume 1

Download or read book Structural Learning Volume 1 written by Joseph M. Scandura and published by Routledge. This book was released on 2017-09-13 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in 1973, this book was published in two volumes. In the first volume, the author describes what he sees as the rudiments of three deterministic partial theories of structural learning. The first involves competence, partial theories which deal only with the problem of how to account for the various kinds of behavior of which people are typically capable. Special attention is given to mathematical competence. Nothing is said about learning or performance. The second partial theory is concerned with motivation, learning, and performance under idealized conditions, and is obtained from the first partial theory by imposing further structure on it. This theory says nothing about memory of the limited capacity of human subjects to process information. ... The final theory is obtained from the second by making additional assumptions, which bring memory and finite information processing into the picture. The theory is still partial, however, since no attempt is made to deal with certain ultra-short-term behavioral phenomena which appear to depend directly on particular physiological characteristics.

Book Structural Learning  Volume 2

Download or read book Structural Learning Volume 2 written by Joseph M. Scandura and published by Routledge. This book was released on 2017-09-13 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in 1976, this title is an edited volume and reflects the major approaches being taken in structural learning at the time. Chapter 1 deals with the basic question of whether competence (knowledge) should be characterized in terms of rules (automata), on the one hand, or associations on the other. The bulk of Chapter 2 is devoted to a series of earlier experiments on rule learning by the editor and his associates. The two contributions in Chapter 3 deal with graph theoretical models. Piagetian models constitute the subject of Chapter 4. Chapter 5 deals with attempts to stimulate human behaviour with a computer. Chapter 6 ranges over a wide variety of competence models, with particular reference to logic and mathematics. In Chapter 7 the editor proposes a new theory of structural learning, together with some empirical results.

Book Evaluating the Quality of Learning

Download or read book Evaluating the Quality of Learning written by John B. Biggs and published by Academic Press. This book was released on 2014-05-10 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Educational Psychology Series: Evaluating the Quality of Learning: The SOLO Taxonomy (Structure of the Observed Learning Outcome) focuses on the approaches, methodologies, and techniques employed in the valuation of the quality of learning. The publication first offers information on the quality and quantity of learning and origin and description of the Structure of the Observed Learning Outcome (SOLO) taxonomy. Discussions focus on general intellectual development and the growth of quality; some assumptions and applications of stage theory; from developmental stage to levels of learning quality; and general intellectual development and the growth of quality. The text then examines the teaching of history, elementary mathematics, English, and geography. Topics include interpreting a map and drawing conclusions, explaining a natural phenomenon, appreciation of poetry, implications for the teaching of history, English, and mathematics, numbers and operations, and general application of SOLO to history. The manuscript takes a look at modern languages, place of the taxonomy in instructional design, and some methodological considerations. Concerns include alternative formats for obtaining SOLO responses, instructional processes, curriculum analysis, remediation, and teacher intentions. The publication is a vital source of data for educators interested in the SOLO taxonomy.

Book Structural Health Monitoring

Download or read book Structural Health Monitoring written by Charles R. Farrar and published by John Wiley & Sons. This book was released on 2012-11-19 with total page 735 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by global leaders and pioneers in the field, this book is a must-have read for researchers, practicing engineers and university faculty working in SHM. Structural Health Monitoring: A Machine Learning Perspective is the first comprehensive book on the general problem of structural health monitoring. The authors, renowned experts in the field, consider structural health monitoring in a new manner by casting the problem in the context of a machine learning/statistical pattern recognition paradigm, first explaining the paradigm in general terms then explaining the process in detail with further insight provided via numerical and experimental studies of laboratory test specimens and in-situ structures. This paradigm provides a comprehensive framework for developing SHM solutions. Structural Health Monitoring: A Machine Learning Perspective makes extensive use of the authors’ detailed surveys of the technical literature, the experience they have gained from teaching numerous courses on this subject, and the results of performing numerous analytical and experimental structural health monitoring studies. Considers structural health monitoring in a new manner by casting the problem in the context of a machine learning/statistical pattern recognition paradigm Emphasises an integrated approach to the development of structural health monitoring solutions by coupling the measurement hardware portion of the problem directly with the data interrogation algorithms Benefits from extensive use of the authors’ detailed surveys of 800 papers in the technical literature and the experience they have gained from teaching numerous short courses on this subject.

Book Structured Learning and Prediction in Computer Vision

Download or read book Structured Learning and Prediction in Computer Vision written by Sebastian Nowozin and published by Now Publishers Inc. This book was released on 2011 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structured Learning and Prediction in Computer Vision introduces the reader to the most popular classes of structured models in computer vision.

Book Building a Midshipman

    Book Details:
  • Author : Jacqui Murray
  • Publisher : Structured Learning
  • Release : 2006-08
  • ISBN : 097878006X
  • Pages : 162 pages

Download or read book Building a Midshipman written by Jacqui Murray and published by Structured Learning. This book was released on 2006-08 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: For the thousands of students who apply every year for one of the four military academies, slogging through the numbing concatenation of decisions preceding a nomination, there is no greater intimidation than the statistically likely event that they will try and fail. Thats an examination into the pithiness of moral fiber important to the USNA, and eulogized by James Stockdale, USNA 46 and Medal of Honor Winner: "The test of character is not 'hanging in there' when you expect a light at the end of the tunnel, but performance of duty and persistence of example when you know that no light is coming. This is the true story of how one All-American kidlike those many that applydid it. She had no idea she could aim so high and succeed so succinctly. Her research into the typical Midshipman uncovered a profile alarmingly like herself. If she dreamt of attending a college where she fit in and attracted kindred souls, this qualified. When you first meet Meaghan, you may wonder, why does she think an Ivy League school will accept her? She doesnt earn straight As or play quarterback on the football teamor center on the volleyball squad. I describe in detail her background, her academic interests, her focus, as well as her struggle to put together a winning admissions package. Along the way, you gain insight into the moral fiber that grounds everything she does and allows her to fight the good fight. The support from family and friends, and decisions she must make that superficially appear impossible for an adolescent, but are in fact achievable for thousands of like-minded teens.

Book Structural Learning  Theory and research

Download or read book Structural Learning Theory and research written by Joseph M. Scandura and published by . This book was released on 1973 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Journal of Structural Learning

Download or read book Journal of Structural Learning written by and published by . This book was released on 1976 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Fuzzy Systems and Knowledge Discovery

Download or read book Fuzzy Systems and Knowledge Discovery written by Lipo Wang and published by Springer. This book was released on 2005-08-25 with total page 1354 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book and its sister volume, LNAI 3613 and 3614, constitute the proce- ings of the Second International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2005), jointly held with the First International Conference on Natural Computation (ICNC 2005, LNCS 3610, 3611, and 3612) from - gust 27–29, 2005 in Changsha, Hunan, China. FSKD 2005 successfully attracted 1249 submissions from 32 countries/regions (the joint ICNC-FSKD 2005 received 3136 submissions). After rigorous reviews, 333 high-quality papers, i. e. , 206 long papers and 127 short papers, were included in the FSKD 2005 proceedings, r- resenting an acceptance rate of 26. 7%. The ICNC-FSKD 2005 conference featured the most up-to-date research - sults in computational algorithms inspired from nature, including biological, e- logical, and physical systems. It is an exciting and emerging interdisciplinary area in which a wide range of techniques and methods are being studied for dealing with large, complex, and dynamic problems. The joint conferences also promoted cross-fertilization over these exciting and yet closely-related areas, which had a signi?cant impact on the advancement of these important technologies. Speci?c areas included computation with words, fuzzy computation, granular com- tation, neural computation, quantum computation, evolutionary computation, DNA computation, chemical computation, information processing in cells and tissues, molecular computation, arti?cial life, swarm intelligence, ants colony, arti?cial immune systems, etc. , with innovative applications to knowledge d- covery, ?nance, operations research, and more.

Book Instructional Design Theories and Models

Download or read book Instructional Design Theories and Models written by Charles M. Reigeluth and published by Routledge. This book was released on 1983-11-01 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Instructional Design Theories and Models is a thorough yet concise overview of eight of the most comprehensive and best-known attempts to integrate knowledge about effective and appealing instruction. Chapters were written by the original theorists to provide a more accurate and behind-the-scenes look at the theories' development. Instructional Des

Book Instructional design Theories and Models  An overview of their current status

Download or read book Instructional design Theories and Models An overview of their current status written by Charles M. Reigeluth and published by Psychology Press. This book was released on 1983 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 1983. Routledge is an imprint of Taylor & Francis, an informa company.

Book Investigations in Mathematics Education

Download or read book Investigations in Mathematics Education written by and published by . This book was released on 1974 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Enterprise Information Systems

Download or read book Enterprise Information Systems written by Joaquim Filipe and published by Springer Science & Business Media. This book was released on 2009-04-03 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the best papers of the 10th International Conference on Enterprise Information Systems (ICEIS 2008), held in the city of Barcelona (Spain), organized by the Institute for Systems and Technologies of Information, Control and Com- nication (INSTICC) in cooperation with AAAI and co-sponsored by WfMC. ICEIS has become a major point of contact between research scientists, engineers and practitioners in the area of business applications of information systems. This year, five simultaneous tracks were held, covering different aspects related to enterprise computing, including: “Databases and Information Systems Integration,” “Artificial Intelligence and Decision Support Systems,” “Information Systems Analysis and Specification,” “Software Agents and Internet Computing” and “Human–Computer Interaction.” All tracks focused on real-world applications and highlighted the benefits of information systems and technology for industry and services, thus making a bridge between academia and enterprise. Following the success of 2007, ICEIS 2008 received 665 paper submissions from more than 40 countries. In all, 62 papers were published and presented as full papers, i.e., completed work (8 pages in proceedings / 30-min oral presentations), and 183 papers, reflecting work-in-progress or position papers, were accepted for short pr- entation and another 161 for poster presentation.

Book Knowledge based Neurocomputing

Download or read book Knowledge based Neurocomputing written by Ian Cloete and published by MIT Press. This book was released on 2000 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Looking at ways to encode prior knowledge and to extract, refine, and revise knowledge within a neurocomputing system.Neurocomputing methods are loosely based on a model of the brain as a network of simple interconnected processing elements corresponding to neurons. These methods derive their power from the collective processing of artificial neurons, the chief advantage being that such systems can learn and adapt to a changing environment. In knowledge-based neurocomputing, the emphasis is on the use and representation of knowledge about an application. Explicit modeling of the knowledge represented by such a system remains a major research topic. The reason is that humans find it difficult to interpret the numeric representation of a neural network.The key assumption of knowledge-based neurocomputing is that knowledge is obtainable from, or can be represented by, a neurocomputing system in a form that humans can understand. That is, the knowledge embedded in the neurocomputing system can also be represented in a symbolic or well-structured form, such as Boolean functions, automata, rules, or other familiar ways. The focus of knowledge-based computing is on methods to encode prior knowledge and to extract, refine, and revise knowledge within a neurocomputing system.ContributorsC. Aldrich, J. Cervenka, I. Cloete, R.A. Cozzio, R. Drossu, J. Fletcher, C.L. Giles, F.S. Gouws, M. Hilario, M. Ishikawa, A. Lozowski, Z. Obradovic, C.W. Omlin, M. Riedmiller, P. Romero, G.P.J. Schmitz, J. Sima, A. Sperduti, M. Spott, J. Weisbrod, J.M. Zurada

Book Personal Networks

    Book Details:
  • Author : Mario L. Small
  • Publisher : Cambridge University Press
  • Release : 2021-09-16
  • ISBN : 1108871437
  • Pages : 769 pages

Download or read book Personal Networks written by Mario L. Small and published by Cambridge University Press. This book was released on 2021-09-16 with total page 769 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social networks are ubiquitous. The science of networks has shaped how researchers and society understand the spread of disease, the precursors of loneliness, the rise of protest movements, the causes of social inequality, the influence of social media, and much more. Egocentric analysis conceives of each individual, or ego, as embedded in a personal network of alters, a community partially of their creation and nearly unique to them, whose composition and structure have consequences. This volume is dedicated to understanding the history, present, and future of egocentric social network analysis. The text brings together the most important, classic articles foundational to the field with new perspectives to form a comprehensive volume ideal for courses in network analysis. The collection examines where the field of egocentric research has been, what it has uncovered, and where it is headed.

Book Keynes  Uncertainty and the Global Economy

Download or read book Keynes Uncertainty and the Global Economy written by Sheila C. Dow and published by Edward Elgar Publishing. This book was released on 2002-01-01 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book should be welcomed by post Keynesian economists, microeconomists and those interested in international economics.

Book Neural Information Processing  Research and Development

Download or read book Neural Information Processing Research and Development written by Jagath Chandana Rajapakse and published by Springer. This book was released on 2012-12-06 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of neural information processing has two main objects: investigation into the functioning of biological neural networks and use of artificial neural networks to sol ve real world problems. Even before the reincarnation of the field of artificial neural networks in mid nineteen eighties, researchers have attempted to explore the engineering of human brain function. After the reincarnation, we have seen an emergence of a large number of neural network models and their successful applications to solve real world problems. This volume presents a collection of recent research and developments in the field of neural information processing. The book is organized in three Parts, i.e., (1) architectures, (2) learning algorithms, and (3) applications. Artificial neural networks consist of simple processing elements called neurons, which are connected by weights. The number of neurons and how they are connected to each other defines the architecture of a particular neural network. Part 1 of the book has nine chapters, demonstrating some of recent neural network architectures derived either to mimic aspects of human brain function or applied in some real world problems. Muresan provides a simple neural network model, based on spiking neurons that make use of shunting inhibition, which is capable of resisting small scale changes of stimulus. Hoshino and Zheng simulate a neural network of the auditory cortex to investigate neural basis for encoding and perception of vowel sounds.