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Advances in Web Based Learning - ICWL 2007, Howard Leung; Frederick Li; Rynson Lau; Qing Li


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Цена: 16070.00р.
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Автор: Howard Leung; Frederick Li; Rynson Lau; Qing Li
Название:  Advances in Web Based Learning - ICWL 2007
ISBN: 9783540781387
Издательство: Springer
Классификация:
ISBN-10: 3540781382
Обложка/Формат: Paperback
Страницы: 668
Вес: 1.02 кг.
Дата издания: 2008
Серия: Lecture Notes in Computer Science
Язык: English
Иллюстрации: Illustrations
Размер: 234 x 155 x 25
Читательская аудитория: Postgraduate, research & scholarly
Подзаголовок: 6th international conference, edinburgh, uk, august 15-17, 2007, revised papers
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book contains the post-conference proceedings of the 6th International Conference on Web-Based Learning. Coverage includes personalized e-learning, practice and experience sharing, security, privacy and mobile e-learning, as well as blended learning.


Advances in Web-Based Learning – ICWL 2016

Автор: Chiu
Название: Advances in Web-Based Learning – ICWL 2016
ISBN: 3319474391 ISBN-13(EAN): 9783319474397
Издательство: Springer
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Цена: 8106.00 р.
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Описание: This book constitutes the refereed proceedings of the 15th International Conference on Web-Based Learning, ICWL 2016, held in Rome, Italy, in October 2016. The 19 revised full papers presented together with 10 short papers and 4 poster papers were carefully reviewed and selected from 110 submissions.

Pedagogically Founded Courseware Generation for Web-Based Learning

Автор: Carsten Ullrich
Название: Pedagogically Founded Courseware Generation for Web-Based Learning
ISBN: 3540882138 ISBN-13(EAN): 9783540882138
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Automatic course generation is a very important area of research with numerous practical applications in e-learning. It has been studied since the 1980s in the fields of intelligent tutoring, AI and education, adaptive hypermedia and web-based educational systems. This book focuses on course generation based on Hierarchical Task Network planning.

Advances in Web Based Learning - ICWL 2008

Автор: Frederick Li; Jianmin Zhao; Rynson Lau; Qing Li; D
Название: Advances in Web Based Learning - ICWL 2008
ISBN: 3540850325 ISBN-13(EAN): 9783540850328
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Constitutes the refereed proceedings of the 7th International Conference on Web-Based Learning, ICWL 2008, held in Jinhua, China, in August 2008. This book includes papers organized in topical sections on adaptation of e-learning technologies and policies, learning resource management, e-learning experiences, and game-based learning.

Advances in Web Based Learning - ICWL 2009

Автор: Marc Spaniol; Qing Li; Ralf Klamma; Rynson W.H. La
Название: Advances in Web Based Learning - ICWL 2009
ISBN: 364203425X ISBN-13(EAN): 9783642034251
Издательство: Springer
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Цена: 12577.00 р.
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Описание: 8th International Conference Aachen Germany August 1921 2009 Proceedings. .

Advances in Machine Learning II

Автор: Jacek Koronacki; Zbigniew W. Ras; Slawomir T. Wier
Название: Advances in Machine Learning II
ISBN: 3642051782 ISBN-13(EAN): 9783642051784
Издательство: Springer
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Цена: 36197.00 р.
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Описание: General Issues.- Knowledge-Oriented and Distributed Unsupervised Learning for Concept Elicitation.- Toward Interactive Computations: A Rough-Granular Approach.- Data Privacy: From Technology to Economics.- Adapting to Human Gamers Using Coevolution.- Wisdom of Crowds in the Prisoner's Dilemma Context.- Logical and Relational Learning, and Beyond.- Towards Multistrategic Statistical Relational Learning.- About Knowledge and Inference in Logical and Relational Learning.- Two Examples of Computational Creativity: ILP Multiple Predicate Synthesis and the 'Assets' in Theorem Proving.- Logical Aspects of the Measures of Interestingness of Association Rules.- Text and Web Mining.- Clustering the Web 2.0.- Induction in Multi-Label Text Classification Domains.- Cluster-Lift Method for Mapping Research Activities over a Concept Tree.- On Concise Representations of Frequent Patterns Admitting Negation.- Classification and Beyond.- A System to Detect Inconsistencies between a Domain Expert's Different Perspectives on (Classification) Tasks.- The Dynamics of Multiagent Q-Learning in Commodity Market Resource Allocation.- Simple Algorithms for Frequent Item Set Mining.- Monte Carlo Feature Selection and Interdependency Discovery in Supervised Classification.- Machine Learning Methods in Automatic Image Annotation.- Neural Networks and Other Nature Inspired Approaches.- Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework.- Machine Learning in Vector Models of Neural Networks.- Nature Inspired Multi-Swarm Heuristics for Multi-Knowledge Extraction.- Discovering Data Structures Using Meta-learning, Visualization and Constructive Neural Networks.- Neural Network and Artificial Immune Systems for Malware and Network Intrusion Detection.- Immunocomputing for Speaker Recognition.

Advances in Independent Component Analysis and Learning Machines

Автор: Ella Bingham
Название: Advances in Independent Component Analysis and Learning Machines
ISBN: 0128028068 ISBN-13(EAN): 9780128028063
Издательство: Elsevier Science
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Цена: 19201.00 р.
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Описание:

In honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances in the theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining.

Examples of topics which have developed from the advances of ICA, which are covered in the book are:

  • A unifying probabilistic model for PCA and ICA
  • Optimization methods for matrix decompositions
  • Insights into the FastICA algorithm
  • Unsupervised deep learning
  • Machine vision and image retrieval

  • A review of developments in the theory and applications of independent component analysis, and its influence in important areas such as statistical signal processing, pattern recognition and deep learning
  • A diverse set of application fields, ranging from machine vision to science policy data
  • Contributions from leading researchers in the field

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