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.
This book is a reflection on what is was like to grow up in a traditional Chinese family in Malaya and Singapore in the l930's and 1940's and the cultural differences between that environment and life in Australia after moving there in 1954 for further education and employment, especially as Australia had then the White Australia policy, and was not the multicultural society it is today. It also comments on life and experiences working as an Australian Trade Commissioner in China in the 1980's and early 1990's when the People Republic of China began to open up to the West . His knowledge of the Chinese language and of the differences between Chinese and Australian cultures allowed him to have a more intimate insight into the so-called inscrutable Chinese thinking.
Computational Intelligence in Protein-Ligand Interaction Analysis presents computational techniques for predicting protein-ligand interactions, recognizing protein interaction sites, and identifying protein drug targets. The book emphasizes novel approaches to protein-ligand interactions, including machine learning and deep learning, presenting a state-of-the-art suite of skills for researchers. The volume represents a resource for scientists, detailing the fundamentals of computational methods, showing how to use computational algorithms to study protein interaction data, and giving scientific explanations for biological data through computational intelligence. Fourteen chapters offer a comprehensive guide to protein interaction data and computational intelligence methods for protein-ligand interactions. Presents a guide to computational techniques for protein-ligand interaction analysis Guides researchers in developing advanced computational intelligence methods for the protein-ligand problem Identifies appropriate computational tools for various problems Demonstrates the use of advanced techniques such as vector machine, neural networks, and machine learning Offers the computational, mathematical and statistical skills researchers need
Xiao Min is seven to eight years old in this book. She celebrates the Lunar New Year with her family. She experiences fireworks, decorates the house, celebrates the Kitchen God Day, receives Hong Bao from her grandparents, enjoys eating many of the holiday foods, visits her relatives, and has fun at a Temple Fair." -- Cover.
Since the appearance of computers, numerical methods for discontinuous solutions of quasi-linear hyperbolic systems of partial differential equations have been among the most important research subjects in numerical analysis. The authors have developed a new difference method (named the singularity-separating method) for quasi-linear hyperbolic systems of partial differential equations. Its most important feature is that it possesses a high accuracy even for problems with singularities such as schocks, contact discontinuities, rarefaction waves and detonations. Besides the thorough description of the method itself, its mathematical foundation (stability-convergence theory of difference schemes for initial-boundary-value hyperbolic problems) and its application to supersonic flow around bodies are discussed. Further, the method of lines and its application to blunt body problems and conical flow problems are described in detail. This book should soon be an important working basis for both graduate students and researchers in the field of partial differential equations as well as in mathematical physics.
Predictive Filtering for Microsatellite Control Systems introduces technological design, modeling, stability analysis, predictive filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. The book gives a systematically and almost self-contained description of the many facets of envisaging, designing, implementing or experimentally exploring predictive filtering for spacecraft control systems, along with the adequate designs of integrated modeling, dynamics, state estimation, and signal processing of spacecrafts and nonlinear systems. Unifies existing and emerging concepts concerning predictive filtering theory, state estimation, and signal processing for spacecraft control systems Provides a series of latest results in, including but not limited to, nonlinear filtering, attitude determination, and state estimation towards spacecraft control systems Gives numerical and simulation results in each chapter in order to reflect the engineering practice and demonstrate the main focus of the developed analysis and synthesis approach Covers advanced topics in nonlinear filtering with aerospace application
Xiao Min is six years old when she starts school. She shares about her school, her teacher, her books, making new friends, and playing games. At the October 1st holiday, the family has a new member - a baby boy." -- Cover.
This 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 metalearning--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."--Provided by publisher.
Yuwen was a Cultivator who sought opportunities to break through his limits little by little while he roamed. Coincidentally, they met an altar, and it was very obvious that this altar had Wu Ge's powerful ghost. As long as he could refine this altar, he would be able to control these souls. This way, he would be able to take a very good step on the path of cultivation. However, after working hard for a long time, she was still unable to refine it. In the end, when she was prepared to give up, a girl called Dong Qian Qian came out and helped him. His ordinary life would no longer be ordinary.
The Dragon Concealed City had become a hotel waiter, a beautiful CEO who was as cold as an iceberg. a pure and cute nurse, a mature and charming career oneesan, and a peerless cold and charming killer.
Black phosphorus (BP)-based two-dimensional (2D) nanomaterials are used as components in practical industrial applications in biomedicine, electronics, and photonics. There is a need to controllably shape engineered scalable structures of 2D BP building blocks, and their assembly/organization is desired for the formation of three-dimensional (3D) forms such as macro and hybrid architectures, as it is expected that these architectures will deliver even better materials performance in applications. Semiconducting Black Phosphorus: From 2D Nanomaterial to Emerging 3D Architecture provides an overview of the various synthetic strategies for 2D BP single-layer nanomaterials, their scalable synthesis, properties, and assemblies into 3D architecture. The book covers defect engineering and physical properties of black phosphorous; describes different strategies for the development of 2D nanostructures of BP with other species such as polymers, organic molecules, and other inorganic materials; offers a comparative study of 3D BP structures with other 3D architectures such as dichalcogenides (TMDs, graphene, and boron nitride); and discusses in detail applications of 3D macrostructures of BP in various fields such as energy, biomedical, and catalysis. This is an essential reference for researchers and advanced students in materials science and chemical, optoelectronic, and electrical engineering.
In Jiading, the imperial court was in a state of turmoil, with smoke rising in all directions in the north, and the imperial government in the south Song Dynasty was in a more peaceful corner, not thinking about going north anymore, and still living a happy life of singing and dancing. Shi Mi Yuan, a powerful official, had killed a famous Gold Resisting Scholar, but after gaining the actual power, he had actually restored the main culprit that had caused the death of King Yue Feiyue. He was reprimanded by the people as an ancient sinner, such as Qin Hui, and his title as a loyal sacrifice had been completely broken for Jin and Mongolia. Resisting the Golden Name Han Ying with this accusation of the crimes of Shi Mi Yuan, Shi Mi Yuan with hatred in his heart, liaising with Han's adversary, Queen Yang, and joining forces to accuse Han Long of having an affair with Jin Guo, selling the owner for honor. Since Song Ning Zong knew Han Yu's character and ignored him, Shi Mi Yuan secretly connected with the Kingdom of Jin to lure experts into the martial world and prepare to make a move against a famous man of his generation. The already restless martial arts world was once again filled with a bloody storm. Close]
As the essence of Chinese traditional culture, classical Chinese poetry in Singapore played a very important role in the social and cultural development of Singapore’s Chinese community. Numerous poems depicted the unique scenery of tropical rainforest and the customs with a Nanyang flavor, recorded the various historical events from the colonial era, the World War II to the independent nation, and reflected the poets’ multiple feelings. This book sketches out the brief history of classical Chinese poetry in Singapore over a hundred years, and focuses on the complex identity of poets from different generations, the function of literary societies in the construction of cultural space and the influence of modern media on the development of classical Chinese poetry based on the text interpretation. In addition, the author attempts to define different types of poetry writing using diaspora literature and Sinophone literature. The discussion of these topics will not only expand the research horizon of Chinese literature, but also provide a meaningful reference to the studies of the worldwide Chinese overseas, especially in Southeast Asia.
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