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Ziyans Diary Of Awesomeness 2020
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Book Synopsis Ziyan's Diary of Awesomeness 2020 by : Awesome Diary Publishing Company
Download or read book Ziyan's Diary of Awesomeness 2020 written by Awesome Diary Publishing Company and published by . This book was released on 2019-12-19 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Give this unique and inspiring full year 2020 diary / journal gift to a friend or family member named Ziyan. Add an explosion of color to a girls Birthday, Christmas or New Year. Perfect for planning and keeping track of special occasions and writing daily thoughts and inspirations. Can I sign this diary? Yes, there is a handy gift message area on the first page. Click our author name below the title to see more names of people you could gift this diary to. About the diary: Diary Year: 2020 Pages: 185 pages, 2 fully dated days per page. Cover: Quality matte finish. Size: 6 x 9 inches. Suggested Occasions: Birthdays New Year Christmas Thanksgiving Christenings Back To School Back to College Suggested recipients: Daughter Niece Cousin Granddaughter Grandmother Friend Girlfriend Wife Fianc�
Book Synopsis Hanzila's Diary of Awesomeness 2020 by : Awesome Diary Publishing Company
Download or read book Hanzila's Diary of Awesomeness 2020 written by Awesome Diary Publishing Company and published by . This book was released on 2019-12-16 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Give this unique and inspiring full year 2020 diary / journal gift to a friend or family member named Hanzila. Add an explosion of color to a girls Birthday, Christmas or New Year. Perfect for planning and keeping track of special occasions and writing daily thoughts and inspirations. Can I sign this diary? Yes, there is a handy gift message area on the first page. Click our author name below the title to see more names of people you could gift this diary to. About the diary: Diary Year: 2020 Pages: 185 pages, 2 fully dated days per page. Cover: Quality matte finish. Size: 6 x 9 inches. Suggested Occasions: Birthdays New Year Christmas Thanksgiving Christenings Back To School Back to College Suggested recipients: Daughter Niece Cousin Granddaughter Grandmother Friend Girlfriend Wife Fiancé
Book Synopsis Analia's Diary of Awesomeness 2020 by : Awesome Diary Publishing Company
Download or read book Analia's Diary of Awesomeness 2020 written by Awesome Diary Publishing Company and published by . This book was released on 2019-12-12 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Give this unique and inspiring full year 2020 diary / journal gift to a friend or family member named Analia. Add an explosion of color to a girls Birthday, Christmas or New Year. Perfect for planning and keeping track of special occasions and writing daily thoughts and inspirations. Can I sign this diary? Yes, there is a handy gift message area on the first page. Click our author name below the title to see more names of people you could gift this diary to. About the diary: Diary Year: 2020 Pages: 185 pages, 2 fully dated days per page. Cover: Quality matte finish. Size: 6 x 9 inches. Suggested Occasions: Birthdays New Year Christmas Thanksgiving Christenings Back To School Back to College Suggested recipients: Daughter Niece Cousin Granddaughter Grandmother Friend Girlfriend Wife Fiancé
Book Synopsis Impacts of COVID-19 on International Students and the Future of Student Mobility by : Krishna Bista
Download or read book Impacts of COVID-19 on International Students and the Future of Student Mobility written by Krishna Bista and published by Routledge. This book was released on 2021-09-29 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume uses case studies and students' lived experiences to document the impacts of coronavirus (COVID-19) on international students and explore future challenges and opportunities for student mobility within higher education. Responding to the growing need for new insights and perspectives to improve higher education policy and practice in the era of COVID-19, this text analyses the changing roles and responsibilities of institutions and international education leaders post-2020. Initial chapters highlight key issues for students that have arisen as a result of the global health crisis such as learning, well-being, and the changed emotional, legal, and financial implications of study abroad. Subsequent chapters confront potential longer-term implications of students’ experiences during COVID-19, and provide critical reflection on internationalization and the opportunities that COVID-19 has presented for tertiary education systems around the world to learn from one another. This timely volume will benefit researchers, academics, and educators with an interest in online teaching and e-learning, curriculum design, and more specifically those involved with international and comparative education. Those involved with educational policy and practice, specifically related to pandemic education, will also benefit from this volume.
Book Synopsis Chinese Lessons from Other Peoples' Wars by : Andrew Scobell
Download or read book Chinese Lessons from Other Peoples' Wars written by Andrew Scobell and published by CreateSpace. This book was released on 2011-11-01 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The annual Conference on the Chinese People's Liberation Army (PLA) took place at the U.S. Army War College (USAWC), in Carlisle, Pennsylvania, on October 22-24, 2010.1 The topic for this year's conference was the "PLA's lessons from Other People's Wars." Participants at the conference sought to discern what lessons the PLA has been learning from the strategic and operational experiences of the armed forces of other countries during the past 3 decades. Why did observers of the PLA want to study what Chinese military analysts might learned about non-Chinese wars? The answer is twofold. First, the PLA has not fought an actual war since 1979. Yet, during the last 3 decades, fundamental changes have taken place on the battlefield and in the conduct of war. Since the PLA has not fought since 1979, it had no experience in the changing face of war, and thus could not follow Mao Zedong's admonition to "learn by doing"; instead, it must look abroad for ways to discern the new pattern of warfare in the evolving information age. Studying Chinese military analysts' observations of non-Chinese wars therefore provides us a glimpse of what the PLA takes from others' experience to improve its capability and to prepare itself for dealing with China's national security issues, such as Taiwan, the South and East China Sea disputes, and internal unrest in Tibet and Xinjiang, to name the most obvious ones. Second, Chinese military analysts have noticeably more freedom in assessing and commenting on the strength and weakness as well as the success and fail¬ures of other countries' wars. Indeed, for political reasons, Chinese military analysts have to emphasize the heroics and triumphs of the PLA's war experience and downplay setbacks and failures.2 While there is certainly recognition of the daunting challenges-in Korea, for example, accounts readily acknowledge that the Chinese People's Volunteers (CPV) were totally unprepared logistically and devastated by airpower-there are limits to the levels of candor. To date, there is no critical analysis of the PLA's claimed success or dismissed failure in the Sino-Vietnamese Border War of 1979 by Chinese military analysts (however, there are a few studies done by scholars outside of China3). Studying Chinese military analysts' observation of other people's wars, therefore, provide us key hints as to what Chinese military analysts consider important aspects of current and future military operational success and failure.
Book Synopsis Speech Enhancement by : Shoji Makino
Download or read book Speech Enhancement written by Shoji Makino and published by Springer Science & Business Media. This book was released on 2005-03-17 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: We live in a noisy world! In all applications (telecommunications, hands-free communications, recording, human-machine interfaces, etc) that require at least one microphone, the signal of interest is usually contaminated by noise and reverberation. As a result, the microphone signal has to be "cleaned" with digital signal processing tools before it is played out, transmitted, or stored. This book is about speech enhancement. Different well-known and state-of-the-art methods for noise reduction, with one or multiple microphones, are discussed. By speech enhancement, we mean not only noise reduction but also dereverberation and separation of independent signals. These topics are also covered in this book. However, the general emphasis is on noise reduction because of the large number of applications that can benefit from this technology. The goal of this book is to provide a strong reference for researchers, engineers, and graduate students who are interested in the problem of signal and speech enhancement. To do so, we invited well-known experts to contribute chapters covering the state of the art in this focused field.
Book Synopsis Big Nate: A Good Old-Fashioned Wedgie by : Lincoln Peirce
Download or read book Big Nate: A Good Old-Fashioned Wedgie written by Lincoln Peirce and published by Andrews McMeel Publishing. This book was released on 2017-08-29 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Need a way to shut up some snooty kid when he gloats about his private school? Looking for the perfect response when your best friend joins the grammar police? Want a quick and easy way to out-snap even the snappiest comeback? Nate Wright has the answer: a good old-fashioned wedgie! The whole gang from P.S. 38 is back for more hijinks, hilarity, and underwear hoisting in this new collection of Big Nate comics. Can Chad somehow survive on a diet of kale and soy nuts? Are Jenny and Artur EVER going to break up? And how is Nate supposed to concentrate on baseball when he’s got a crush on his team’s new pitcher? See for yourself! Join Nate and the rest of the crew for another unforgettable round of middle school adventures!
Download or read book Deep Learning on Graphs written by Yao Ma and published by Cambridge University Press. This book was released on 2021-09-23 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive text on foundations and techniques of graph neural networks with applications in NLP, data mining, vision and healthcare.
Book Synopsis Introduction to Graph Neural Networks by : Zhiyuan Zhiyuan Liu
Download or read book Introduction to Graph Neural Networks written by Zhiyuan Zhiyuan Liu and published by Springer Nature. This book was released on 2022-05-31 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graphs are useful data structures in complex real-life applications such as modeling physical systems, learning molecular fingerprints, controlling traffic networks, and recommending friends in social networks. However, these tasks require dealing with non-Euclidean graph data that contains rich relational information between elements and cannot be well handled by traditional deep learning models (e.g., convolutional neural networks (CNNs) or recurrent neural networks (RNNs)). Nodes in graphs usually contain useful feature information that cannot be well addressed in most unsupervised representation learning methods (e.g., network embedding methods). Graph neural networks (GNNs) are proposed to combine the feature information and the graph structure to learn better representations on graphs via feature propagation and aggregation. Due to its convincing performance and high interpretability, GNN has recently become a widely applied graph analysis tool. This book provides a comprehensive introduction to the basic concepts, models, and applications of graph neural networks. It starts with the introduction of the vanilla GNN model. Then several variants of the vanilla model are introduced such as graph convolutional networks, graph recurrent networks, graph attention networks, graph residual networks, and several general frameworks. Variants for different graph types and advanced training methods are also included. As for the applications of GNNs, the book categorizes them into structural, non-structural, and other scenarios, and then it introduces several typical models on solving these tasks. Finally, the closing chapters provide GNN open resources and the outlook of several future directions.
Book Synopsis Big Nate: Welcome to My World by : Lincoln Peirce
Download or read book Big Nate: Welcome to My World written by Lincoln Peirce and published by Andrews McMeel Publishing. This book was released on 2015-09-15 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nate Wright’s life is just like his locker--it’s full of surprises. The monstrous Mrs. Godfrey springs a pop quiz on Nate AND his grandparents. His horoscope predicts bad news for Nate’s soccer career. And worst of all, he’s forced to cut back on his beloved Cheez Doodles. It’s enough to drive any kid crazy. Luckily, Nate’s not just any kid. He’s the ultimate sixth-grade survivor. When everything’s falling apart, he finds a way to hold it together … but nobody said it would be easy. Welcome to the world of Big Nate!
Book Synopsis Graph Representation Learning by : William L. William L. Hamilton
Download or read book Graph Representation Learning written by William L. William L. Hamilton and published by Springer Nature. This book was released on 2022-06-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.
Book Synopsis Mathematical Olympiad Treasures by : Titu Andreescu
Download or read book Mathematical Olympiad Treasures written by Titu Andreescu and published by Springer Science & Business Media. This book was released on 2011-09-21 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Olympiad Treasures aims at building a bridge between ordinary high school exercises and more sophisticated, intricate and abstract concepts in undergraduate mathematics. The book contains a stimulating collection of problems in the subjects of algebra, geometry, trigonometry, number theory and combinatorics. While it may be considered a sequel to "Mathematical Olympiad Challenges," the focus is on engaging a wider audience to apply techniques and strategies to real-world problems. Throughout the book students are encouraged to express their ideas, conjectures, and conclusions in writing. The goal is to help readers develop a host of new mathematical tools that will be useful beyond the classroom and in a number of disciplines.
Book Synopsis Advances in Neural Information Processing Systems 8 by : David S. Touretzky
Download or read book Advances in Neural Information Processing Systems 8 written by David S. Touretzky and published by MIT Press. This book was released on 1996 with total page 1128 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past decade has seen greatly increased interaction between theoretical work in neuroscience, cognitive science and information processing, and experimental work requiring sophisticated computational modeling. The 152 contributions in NIPS 8 focus on a wide variety of algorithms and architectures for both supervised and unsupervised learning. They are divided into nine parts: Cognitive Science, Neuroscience, Theory, Algorithms and Architectures, Implementations, Speech and Signal Processing, Vision, Applications, and Control. Chapters describe how neuroscientists and cognitive scientists use computational models of neural systems to test hypotheses and generate predictions to guide their work. This work includes models of how networks in the owl brainstem could be trained for complex localization function, how cellular activity may underlie rat navigation, how cholinergic modulation may regulate cortical reorganization, and how damage to parietal cortex may result in neglect. Additional work concerns development of theoretical techniques important for understanding the dynamics of neural systems, including formation of cortical maps, analysis of recurrent networks, and analysis of self- supervised learning. Chapters also describe how engineers and computer scientists have approached problems of pattern recognition or speech recognition using computational architectures inspired by the interaction of populations of neurons within the brain. Examples are new neural network models that have been applied to classical problems, including handwritten character recognition and object recognition, and exciting new work that focuses on building electronic hardware modeled after neural systems. A Bradford Book
Book Synopsis Lifelong Machine Learning, Second Edition by : Zhiyuan Sun
Download or read book Lifelong Machine Learning, Second Edition written by Zhiyuan Sun and published by Springer Nature. This book was released on 2022-06-01 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no attempt to retain the learned knowledge and use it in subsequent learning. Unlike this isolated system, humans learn effectively with only a few examples precisely because our learning is very knowledge-driven: the knowledge learned in the past helps us learn new things with little data or effort. Lifelong learning aims to emulate this capability, because without it, an AI system cannot be considered truly intelligent. Research in lifelong learning has developed significantly in the relatively short time since the first edition of this book was published. The purpose of this second edition is to expand the definition of lifelong learning, update the content of several chapters, and add a new chapter about continual learning in deep neural networks—which has been actively researched over the past two or three years. A few chapters have also been reorganized to make each of them more coherent for the reader. Moreover, the authors want to propose a unified framework for the research area. Currently, there are several research topics in machine learning that are closely related to lifelong learning—most notably, multi-task learning, transfer learning, and meta-learning—because they also employ the idea of knowledge sharing and transfer. This book brings all these topics under one roof and discusses their similarities and differences. Its goal is to introduce this emerging machine learning paradigm and present a comprehensive survey and review of the important research results and latest ideas in the area. This book is thus suitable for students, researchers, and practitioners who are interested in machine learning, data mining, natural language processing, or pattern recognition. Lecturers can readily use the book for courses in any of these related fields.
Download or read book Network Embedding written by Cheng Yang and published by Morgan & Claypool Publishers. This book was released on 2021-03-25 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive introduction to the basic concepts, models, and applications of network representation learning (NRL) and the background and rise of network embeddings (NE). It introduces the development of NE techniques by presenting several representative methods on general graphs, as well as a unified NE framework based on matrix factorization. Afterward, it presents the variants of NE with additional information: NE for graphs with node attributes/contents/labels; and the variants with different characteristics: NE for community-structured/large-scale/heterogeneous graphs. Further, the book introduces different applications of NE such as recommendation and information diffusion prediction. Finally, the book concludes the methods and applications and looks forward to the future directions. Many machine learning algorithms require real-valued feature vectors of data instances as inputs. By projecting data into vector spaces, representation learning techniques have achieved promising performance in many areas such as computer vision and natural language processing. There is also a need to learn representations for discrete relational data, namely networks or graphs. Network Embedding (NE) aims at learning vector representations for each node or vertex in a network to encode the topologic structure. Due to its convincing performance and efficiency, NE has been widely applied in many network applications such as node classification and link prediction.
Book Synopsis Explanation-Based Neural Network Learning by : Sebastian Thrun
Download or read book Explanation-Based Neural Network Learning written by Sebastian Thrun and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lifelong learning addresses situations in which a learner faces a series of different learning tasks providing the opportunity for synergy among them. Explanation-based neural network learning (EBNN) is a machine learning algorithm that transfers knowledge across multiple learning tasks. When faced with a new learning task, EBNN exploits domain knowledge accumulated in previous learning tasks to guide generalization in the new one. As a result, EBNN generalizes more accurately from less data than comparable methods. Explanation-Based Neural Network Learning: A Lifelong Learning Approach describes the basic EBNN paradigm and investigates it in the context of supervised learning, reinforcement learning, robotics, and chess. `The paradigm of lifelong learning - using earlier learned knowledge to improve subsequent learning - is a promising direction for a new generation of machine learning algorithms. Given the need for more accurate learning methods, it is difficult to imagine a future for machine learning that does not include this paradigm.' From the Foreword by Tom M. Mitchell.
Book Synopsis Knowledge Management, Innovation and Big Data by : Patricia Ordóñez de Pablos
Download or read book Knowledge Management, Innovation and Big Data written by Patricia Ordóñez de Pablos and published by MDPI. This book was released on 2019-12-31 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: The evolution of knowledge management theory and the special emphasis on human and social capital sets new challenges for knowledge-driven and technology-enabled innovation. Emerging technologies including big data and analytics have significant implications for sustainability, policy making, and competitiveness. This edited volume promotes scientific research into the potential contributions knowledge management can make to the new era of innovation and social inclusive economic growth. We are grateful to all the contributors of this edition for their intellectual work. The organization of the relevant debate is aligned around three pillars: SECTION A. DATA, KNOWLEDGE, HUMAN AND SOCIAL CAPITAL FOR INNOVATION We elaborate on the new era of knowledge types and the emerging forms of social capital and their impact on technology-driven innovation. Topics include: · Social Networks · Smart Education · Social Capital · Corporate Innovation · Disruptive Innovation · Knowledge integration · Enhanced Decision-Making. SECTION B. KNOWLEDGE MANAGEMENT & BIG DATA ENABLED INNOVATION In this section, knowledge management and big data applications and systems are presented. Selective topic include: · Crowdsourcing Analysis · Natural Language Processing · Data Governance · Knowledge Extraction · Ontology Design Semantic Modeling SECTION C. SUSTAINABLE DEVELOPMENT In the section, the debate on the impact of knowledge management and big data research to sustainability is promoted with integrative discussion of complementary social and technological factors including: · Big Social Networks on Sustainable Economic Development · Business Intelligence
