Xianyi Yang's Books

White Tiger

An Autobiography of Yang Xianyi

By: Xianyi Yang

Write a review Read reviews Take a Quiz Solve Book Puzzle

White Tiger

An Autobiography of Yang Xianyi

By: Xianyi Yang

It all began with a dream. A young woman saw a white tiger leap into her lap. It was both auspicious and unlucky -- her son, the fortune-teller said, would grow up with no brothers, and his father's health would be endangered by his birth. That son, however, would have a distinguished career, after going through many misfortunes and dangers. The dream was prophetic. The child was his mother's only male child and his father died of illness when the boy was only five. He grew up during the wartime and period of political turmoil in China, passing through many troubles, and he has had a very distinguished career. He is Yang Xianyi, renowned scholar, translator and interpreter of Chinese and Western literature. This delightful memoir of Yang Xianyi gives a candid and entertaining account of himself as a lighthearted and mischievous young man who immersed himself in the learning of European culture, ancient and modern, when he studied at Oxford in the 1930s. But it is also the illuminating self-portrait of a deeply patriotic intellectual living in a China under the throes of change, giving rare insight into the survival of a courageous, witty and principled individual during the harsh century of Chinese liberation.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

340

Publisher

Chinese University Press

Published Date

ISBN 10

962996046X

ISBN 13

9789629960469

White Tiger

An Autobiography of Yang Xianyi

By: Xianyi Yang

Write a review Read reviews Take a Quiz Solve Book Puzzle

White Tiger

An Autobiography of Yang Xianyi

By: Xianyi Yang

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

340

Publisher

Chinese University Press

Published Date

ISBN 10

962996046X

ISBN 13

9789629960469

Feature Learning and Understanding

Algorithms and Applications

By: Haitao Zhao,Zhihui Lai,Henry Leung,Xianyi Zhang

Write a review Read reviews Take a Quiz Solve Book Puzzle

Feature Learning and Understanding

Algorithms and Applications

By: Haitao Zhao,Zhihui Lai,Henry Leung,Xianyi Zhang

This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

299

Publisher

Springer Nature

Published Date

ISBN 10

3030407942

ISBN 13

9783030407940

Optimal Stochastic Scheduling

By: Xiaoqiang Cai,Xianyi Wu,Xian Zhou

Write a review Read reviews Take a Quiz Solve Book Puzzle

Optimal Stochastic Scheduling

By: Xiaoqiang Cai,Xianyi Wu,Xian Zhou

Many interesting and important results on stochastic scheduling problems have been developed in recent years, with the aid of probability theory. This book provides a comprehensive and unified coverage of studies in stochastic scheduling. The objective is two-fold: (i) to summarize the elementary models and results in stochastic scheduling, so as to offer an entry-level reading material for students to learn and understand the fundamentals of this area and (ii) to include in details the latest developments and research topics on stochastic scheduling, so as to provide a useful reference for researchers and practitioners in this area. Optimal Stochastic Scheduling is organized into two parts: Chapters 1-4 cover fundamental models and results, whereas Chapters 5-10 elaborate on more advanced topics. More specifically, Chapter 1 provides the relevant basic theory of probability and then introduces the basic concepts and notation of stochastic scheduling. In Chapters 2 and 3, the authors review well-established models and scheduling policies, under regular and irregular performance measures, respectively. Chapter 4 describes models with stochastic machine breakdowns. Chapters 5 and 6 introduce, respectively, the optimal stopping problems and the multi-armed bandit processes, which are necessary for studies of more advanced subjects in subsequent chapters. Chapter 7 is focused on optimal dynamic policies, which allow adjustments of policies based on up-to-date information. Chapter 8 describes stochastic scheduling with incomplete information in the sense that the probability distributions of random variables contain unknown parameters, which can however be estimated progressively according to updated information. Chapter 9 is devoted to the situation where the processing time of a job depends on the time when it is started. Lastly, in Chapter 10 the authors look at several recent models beyond those surveyed in the previous chapters.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

422

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1489974059

ISBN 13

9781489974051

Book's by Xianyi Yang

White Tiger

White Tiger

White Tiger

White Tiger

Feature Learning and Understanding

Feature Learning and Understanding

Optimal Stochastic Scheduling

Optimal Stochastic Scheduling

Username

Password

Username

Password

Password again

Birthday

Email