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The Informational Complexity of Learning, Partha Niyogi


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Автор: Partha Niyogi
Название:  The Informational Complexity of Learning
ISBN: 9781461374930
Издательство: Springer
Классификация:



ISBN-10: 1461374936
Обложка/Формат: Paperback
Страницы: 224
Вес: 0.36 кг.
Дата издания: 16.10.2012
Язык: English
Размер: 234 x 156 x 14
Основная тема: Computer Science
Подзаголовок: Perspectives on Neural Networks and Generative Grammar
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Among other topics, The Informational Complexity of Learning: Perspectives on Neural Networks and Generative Grammar brings together two important but very different learning problems within the same analytical framework.


Analyzing Discourse and Text Complexity for Learning and Collaborating

Автор: Mihai Dasc?lu
Название: Analyzing Discourse and Text Complexity for Learning and Collaborating
ISBN: 3319034189 ISBN-13(EAN): 9783319034188
Издательство: Springer
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Цена: 19591.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Based on natural language processing techniques, the approach presented in this book provides a qualitative estimation of the learning process and enhances understanding as a "mediator of learning" by providing automated feedback to both learners and teachers.

Variation Principle in Informational Macrodynamics

Автор: Vladimir S. Lerner
Название: Variation Principle in Informational Macrodynamics
ISBN: 1461350581 ISBN-13(EAN): 9781461350583
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Information Macrodynamics (IMD) belong to an interdisciplinary science that represents a new theoretical and computer-based methodology for a system informational descriptionand improvement, including various activities in such areas as thinking, intelligent processes, communications, management, and other nonphysical subjects with their mutual interactions, informational superimposition, and theinformation transferredbetweeninteractions. The IMD is based on the implementation of a single concept by a unique mathematical principle and formalism, rather than on an artificial combination of many arbitrary, auxiliary concepts and/or postulates and different mathematical subjects, such as the game, automata, catastrophe, logical operations theories, etc. This concept is explored mathematically using classical mathematics as calculus of variation and the probability theory, which are potent enough, without needing to developnew, specifiedmathematical systemicmethods. The formal IMD model automatically includes the related results from other fields, such as linear, nonlinear, collective and chaotic dynamics, stability theory, theory of information, physical analogies of classical and quantum mechanics, irreversible thermodynamics, andkinetics. The main IMD goal is to reveal the information regularities, mathematically expressed by the considered variation principle (VP), as a mathematical tool to extractthe regularities and define the model, whichdescribes theregularities. The IMD regularities and mechanisms are the results of the analytical solutions and are not retained by logical argumentation, rational introduction, and a reasonable discussion. The IMD's information computer modeling formalism includes a human being (as an observer, carrier and producer ofinformation), with a restoration of the model during the objectobservation

Analyzing Discourse and Text Complexity for Learning and Collaborating

Автор: Mihai Dasc?lu
Название: Analyzing Discourse and Text Complexity for Learning and Collaborating
ISBN: 3319353233 ISBN-13(EAN): 9783319353234
Издательство: Springer
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Цена: 15672.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Based on natural language processing techniques, the approach presented in this book provides a qualitative estimation of the learning process and enhances understanding as a "mediator of learning" by providing automated feedback to both learners and teachers.


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