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My Summons Are All Gods
Author: Zhang Qing Tian Xia
language: en
Publisher: WWW.WEBNOVEL.COM (Cloudary Holdings Limited)
Release Date: 2021-03-18
Jerry traversed across worlds and arrived in a Beast Summoning era. In this world, everyone could summon their own pets. Darkness was looming, and the world was in turmoil. Relying on the power of their summons, many shrines plundered the resources at every corner of the world like tyrants. But when everyone else was summoning adorable pets that could help them in battle, Jerry discovered that his summoned pets were a little different. Other people's pets are all kinds of beasts, but Jerry summoned gods from Greek mythology! King of the Gods, Zeus, “Master! I, Zeus, is at your command!” Athena, “I will fulfil all your requests, master!” Poseidon, “I will conquer this sea in the name of the master!” In constant summons, step after step, Jerry became the supreme ruler of this world!
Ancient Godly Monarch(1)
Author: Jing Wu Hen
language: en
Publisher: WWW.WEBNOVEL.COM (Cloudary Holdings Limited)
Release Date: 2017-09-19
In the Province of the Nine Skies, far above the heavens, there exists Nine Galaxies of Astral Rivers made up of countless constellations interwoven together. For Martial Cultivators, they could form an innate link with one of the constellations, awaken their Astral Soul, and transform into a Stellar Martial Cultivator. Legend has it that, the strongest cultivators in the Province of the Nine Skies, were beings that could open an astral gate every time they advanced into a new realm. Their talent in cultivation was such that they could even establish innate links with constellations that existed in a layer higher than the Nine Layers of Heavens, eventually transforming into the heaven-defying and earth-shattering power known as the War God of the Nine Heavens. Qin Wentian is the MC of this story. How could a guy, with a broken set of meridians, successfully cultivate? There were countless Stellar Martial Cultivators, as there were countless constellations in the vast starry skies. What he wanted to be, was the brightest constellation of all, shining dazzlingly in the vast starry skies.
Gaussian Processes for Machine Learning
A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms. A wide variety of covariance (kernel) functions are presented and their properties discussed. Model selection is discussed both from a Bayesian and a classical perspective. Many connections to other well-known techniques from machine learning and statistics are discussed, including support-vector machines, neural networks, splines, regularization networks, relevance vector machines and others. Theoretical issues including learning curves and the PAC-Bayesian framework are treated, and several approximation methods for learning with large datasets are discussed. The book contains illustrative examples and exercises, and code and datasets are available on the Web. Appendixes provide mathematical background and a discussion of Gaussian Markov processes.