Kan Tu Ren Zi Character Recognition By Looking At Pictures
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Kan Tu Ren Zi Character Recognition By Looking At Pictures
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Author : Hsin-jen comp
language : zh-CN
Publisher:
Release Date : 1996
Kan Tu Ren Zi Character Recognition By Looking At Pictures written by Hsin-jen comp and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with categories.
Zui Xin Kan Tu Shi Zi Chinese Character Recognition Through Pictures
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Author : Yide Huang
language : zh-CN
Publisher:
Release Date : 1951
Zui Xin Kan Tu Shi Zi Chinese Character Recognition Through Pictures written by Yide Huang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1951 with categories.
Tuttle Learning Chinese Characters
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Author : Alison Matthews
language : en
Publisher: Tuttle Publishing
Release Date : 2011-12-20
Tuttle Learning Chinese Characters written by Alison Matthews and has been published by Tuttle Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-20 with Foreign Language Study categories.
This user-friendly book is aimed at helping students of Mandarin Chinese learn and remember Chinese characters. At last--there is a truly effective and enjoyable way to learn Chinese characters! This book helps students to learn and remember both the meanings and the pronunciations of over 800 characters. This otherwise daunting task is made easier by the use of techniques based on the psychology of learning and memory. key principles include the use of visual imagery, the visualization of short "stories," and the systematic building up of more complicated characters from basic building blocks. Although Learning Chinese Characters is primarily a book for serious learners of Mandarin Chinese, it can be used by anyone with interest in Chinese characters, without any prior knowledge of Chinese. It can be used alongside (or after, or even before) a course in the Chinese language. All characters are simplified (as in mainland China), but traditional characters are also given, when available. Key features: Specially designed pictures and stories are used in a structured way to make the learning process more enjoyable and effective, reducing the need for rote learning to the absolute minimum. The emphasis throughout is on learning and remembering the meanings and pronunciations of the characters. Tips are also included on learning techniques and how to avoid common problems. Characters are introduced in a logical sequence, which also gives priority to learning the most common characters first. Modern, simplified characters are used, with pronunciations given in pinyin. Key information is given for each character, including radical, stroke-count, traditional form, compounds, and guidance on writing the character. This is a practical guide with a clear, concise and appealing layout, and it is well-indexed with easy lookup methods. The 800 Chinese characters and 1,033 compounds specified for the original HSK Level A proficiency test are covered.
Maximize Your Child S Bilingual Ability
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Author : Adam Beck
language : en
Publisher:
Release Date : 2016-05-06
Maximize Your Child S Bilingual Ability written by Adam Beck and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-06 with Education categories.
"Adam Beck, founder of the popular blog Bilingual Monkeys and the lively forum The Bilingual Zoo, provides a roadmap to greater success and joy raising bilingual kids in this practical and comprehensive guide for parents and teachers. A longtime practitioner of bilingual development in children, Beck shares the best of his personal experience as an educator and parent, offering a wealth of actionable advice in his engaging and empowering book."--page 4 of cover.
Representation Learning For Natural Language Processing
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Author : Zhiyuan Liu
language : en
Publisher: Springer Nature
Release Date : 2020-07-03
Representation Learning For Natural Language Processing written by Zhiyuan Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-03 with Computers categories.
This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Pattern Recognition And Machine Learning
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Author : Christopher M. Bishop
language : en
Publisher: Springer
Release Date : 2016-08-23
Pattern Recognition And Machine Learning written by Christopher M. Bishop and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-23 with Computers categories.
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Thinking From The Han
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Author : David L. Hall
language : en
Publisher: SUNY Press
Release Date : 1998-01-01
Thinking From The Han written by David L. Hall and has been published by SUNY Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-01-01 with Philosophy categories.
Examines the issues of self (including gender), truth, and transcendence in classical Chinese and Western philosophy.
Ensemble Methods
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Author : Zhi-Hua Zhou
language : en
Publisher: CRC Press
Release Date : 2012-06-06
Ensemble Methods written by Zhi-Hua Zhou and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-06 with Business & Economics categories.
An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field. After presenting background and terminology, the book covers the main algorithms and theories, including Boosting, Bagging, Random Forest, averaging and voting schemes, the Stacking method, mixture of experts, and diversity measures. It also discusses multiclass extension, noise tolerance, error-ambiguity and bias-variance decompositions, and recent progress in information theoretic diversity. Moving on to more advanced topics, the author explains how to achieve better performance through ensemble pruning and how to generate better clustering results by combining multiple clusterings. In addition, he describes developments of ensemble methods in semi-supervised learning, active learning, cost-sensitive learning, class-imbalance learning, and comprehensibility enhancement.
Remembering Simplified Hanzi 1
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Author : James W. Heisig
language : en
Publisher:
Release Date : 2008-10-31
Remembering Simplified Hanzi 1 written by James W. Heisig and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-31 with Foreign Language Study categories.
"The approach that has helped thousands of learners memorize Japanese kanji has been adapted to help students with Chinese characters. Remembering Simplified Hanzi covers the writing and meaning of the 1,000 most commonly used characters in the traditional Chinese writing system, plus another 500 that are best learned at an early stage." "Of critical importance to the approach found in these pages is the systematic arranging of characters in an order best suited to memory. In the Chinese writing system, strokes and simple components are nested within relatively simple characters, which can, in turn, serve as parts of more complicated characters and so on. Taking advantage of this allows a logical ordering, making it possible for students to approach most new characters with prior knowledge that can greatly facilitate the learning process."--BOOK JACKET.
Hyperspectral Image Analysis
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Author : Saurabh Prasad
language : en
Publisher: Springer Nature
Release Date : 2020-04-27
Hyperspectral Image Analysis written by Saurabh Prasad and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-27 with Computers categories.
This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models, anomalous change detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding. It presents research from leading international experts who have made foundational contributions in these areas. The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas of image analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful.