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No detailed description available for "Linguistics in East Asia and South East Asia".
In the Kunlun Ruins, there were two great stewards, four great deacons, nine great knights, and seven great guilds. He was the High Lord who controlled the Kunlun Ruins, but he was also a leisurely family chef. With a tiger in his heart sniffing the rose, shouldering the responsibility of supporting the heavens and the earth, and holding the pot in his hands, just like that, he was a real man!
An ordinary clerk fell in love with the beautiful female CEO. He thought that the two could only be together in a dream. However, he did not expect that the dream would come true one day. Zhang Tian is a clerk of the company. He has encountered all kinds of difficulties of the beautiful CEO immediately after he joined the company. The beautiful CEO is very harsh on Zhang Tian, but Zhang Tian has to admit that she is indeed capable, and the company's performance is booming under her management. Once Zhang Tian went on a business trip with the CEO, the customer had a lot of harassment to her, but she dared not to say anything. Zhang Tian stood out to protect her. Since then, the look of the beautiful CEO to Zhang Tian turned from disdain to admiration, the seeds of love are quietly sprouting ... ☆About the Author☆ Zigh, an outstanding online novelist, is good at creating modern romance novels. He has excellent creative ability. His novels have twists and turns, which are fascinating.
The book is the volume of "The History of Uprising in China" among a series of books for "China Classified Histories".
This volume contains the proceedings of the Conference on Dynamical Systems, Ergodic Theory, and Probability, which was dedicated to the memory of Nikolai Chernov, held from May 18–20, 2015, at the University of Alabama at Birmingham, Birmingham, Alabama. The book is devoted to recent advances in the theory of chaotic and weakly chaotic dynamical systems and its applications to statistical mechanics. The papers present new original results as well as comprehensive surveys.
Solving problems with deep neural networks typically relies on massive amounts of labeled training data to achieve high performance. While in many situations huge volumes of unlabeled data can be and often are generated and available, the cost of acquiring data labels remains high. Transfer learning (TL), and in particular domain adaptation (DA), has emerged as an effective solution to overcome the burden of annotation, exploiting the unlabeled data available from the target domain together with labeled data or pre-trained models from similar, yet different source domains. The aim of this book is to provide an overview of such DA/TL methods applied to computer vision, a field whose popularit...
This book presents ground-breaking advances in the domain of causal structure learning. The problem of distinguishing cause from effect (“Does altitude cause a change in atmospheric pressure, or vice versa?”) is here cast as a binary classification problem, to be tackled by machine learning algorithms. Based on the results of the ChaLearn Cause-Effect Pairs Challenge, this book reveals that the joint distribution of two variables can be scrutinized by machine learning algorithms to reveal the possible existence of a “causal mechanism”, in the sense that the values of one variable may have been generated from the values of the other. This book provides both tutorial material on the st...
Wu Dong was chased down from the mountain village by the old man to New Port City for training. Because he could not make a living, he used the medical skills that he inherited from the old man. As a martial artist, he even went to the Xingang Hospital to recruit guests. The doctor, Cheng Gang, drove Wu Dong away. He was still being rude, but Wu Dong told him about the illness on his body...
To assess the current state of linguistic activity in all fields and all countries.