Structural Learning Volume 1
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Structural Learning Volume 1
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Author : Joseph M. Scandura
language : en
Publisher: Routledge
Release Date : 2017-09-13
Structural Learning Volume 1 written by Joseph M. Scandura and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-13 with Psychology categories.
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.
Structural Learning
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Author :
language : en
Publisher:
Release Date : 1973
Structural Learning written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Learning, Psychology of categories.
Structural Learning Volume 2
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Author : Joseph M. Scandura
language : en
Publisher: Routledge
Release Date : 2017-09-13
Structural Learning Volume 2 written by Joseph M. Scandura and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-13 with Psychology categories.
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.
Mobile Learning
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Author : Norbert Pachler
language : en
Publisher:
Release Date : 2010-10-01
Mobile Learning written by Norbert Pachler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-01 with categories.
This is the first text to deal with mobile learning in formal education. Focusing on at risk groups in formal education and how portable technologies can support them, the book offers a sound theoretical foundation supported by case studies and examples.
Structural Learning
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Author : Joseph M. Scandura
language : en
Publisher:
Release Date : 1977
Structural Learning written by Joseph M. Scandura and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with categories.
Instructional Design Theories And Models
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Author : Charles M. Reigeluth
language : en
Publisher: Routledge
Release Date : 1983-11-01
Instructional Design Theories And Models written by Charles M. Reigeluth and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983-11-01 with Education categories.
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
Structural Learning
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Author : Joseph M. Scandura
language : en
Publisher:
Release Date : 1973
Structural Learning written by Joseph M. Scandura and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Learning, Psychology of categories.
Deep Learning
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Author : Ian Goodfellow
language : en
Publisher: MIT Press
Release Date : 2016-11-10
Deep Learning written by Ian Goodfellow and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-10 with Computers categories.
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Journal Of Structural Learning
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Author :
language : en
Publisher:
Release Date : 1997
Journal Of Structural Learning written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Education categories.
Proceedings Of The 2nd International Conference On Cognitive And Intelligent Computing
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Author : Amit Kumar
language : en
Publisher: Springer Nature
Release Date : 2023-09-26
Proceedings Of The 2nd International Conference On Cognitive And Intelligent Computing written by Amit Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-26 with Technology & Engineering categories.
This book includes original, peer-reviewed articles from the 2nd International Conference on Cognitive & Intelligent Computing (ICCIC-2022), held at Vasavi College of Engineering Hyderabad, India. It covers the latest trends and developments in areas of cognitive computing, intelligent computing, machine learning, smart cities, IoT, artificial intelligence, cyber-physical systems, cybernetics, data science, neural network, and cognition. This book addresses the comprehensive nature of computational intelligence, cognitive computing, AI, ML, and DL to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. Submissions are original, unpublished, and present in-depth fundamental research contributions either from a methodological/application perspective in understanding artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.