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 Название: Cohesive Subgraph Computation over Large Sparse Graphs: Algorithms, Data Structures, and Programming Techniques
Автор: Lijun Chang, Lu Qin
Издательство: Springer
Год: 2018
Страниц: 113
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB
This book is considered the first extended survey on algorithms and techniques for efficient cohesive subgraph computation. With rapid development of information technology, huge volumes of graph data are accumulated. An availability of rich graph data not only brings great opportunities for realizing big values of data to serve key applications, but also brings great challenges in computation. Using a consistent terminology, the book gives an excellent introduction to the models and algorithms for the problem of cohesive subgraph computation. The materials of this book are well organized from introductory content to more advanced topics while also providing well-designed source codes for most algorithms described in the book. | |
Разместил: Ingvar16 23-05-2019, 16:50 | Комментарии: 0 | Подробнее
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Название: Programming the IBM 360
Автор(ы): Clarence B. Germain
Издательство: Prentice-Hall, Inc
Год: 1967
Страниц: 388
Формат: PDF
Размер: 16 Мб
Язык: English
This book is intended as a text for the student who must learn to program the IBM System/360. It may be used either as a classroom text or for independent self study.
No previous knowledge of punched cards is presumed. Apart from some of the problems, the book presumes no knowledge of mathematics beyond high school algebra. Both business and scientific applications are included; problems are provided in both areas. | |
Разместил: MIHAIL62 23-05-2019, 16:28 | Комментарии: 0 | Подробнее
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 Название: Competition-Based Neural Networks with Robotic Applications
Автор: Shuai Li and Long Jin
Издательство: Springer
Год: 2017
Формат: PDF
Размер: 14 Мб
Язык: английский / English
Focused on solving competition-based problems, this book designs, proposes, develops, analyzes and simulates various neural network models depicted in centralized and distributed manners. Specifically, it defines four different classes of centralized models for investigating the resultant competition in a group of multiple agents. With regard to distributed competition with limited communication among agents, the book presents the first distributed WTA (Winners Take All) protocol, which it subsequently extends to the distributed coordination control of multiple robots. | |
Разместил: black 23-05-2019, 16:27 | Комментарии: 0 | Подробнее
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 Название: Analyzing Dependent Data with Vine Copulas: A Practical Guide With R
Автор: Claudia Czado
Издательство: Springer
Год: 2019
Страниц: 261
Язык: английский
Формат: pdf (true), epub
Размер: 23.0 MB
This textbook provides a step-by-step introduction to the class of vine copulas, their statistical inference and applications. It focuses on statistical estimation and selection methods for vine copulas in data applications. These flexible copula models can successfully accommodate any form of tail dependence and are vital to many applications in finance, insurance, hydrology, marketing, engineering, chemistry, aviation, climatology and health. The book explains the pair-copula construction principles underlying these statistical models and discusses how to perform model selection and inference. It also derives simulation algorithms and presents real-world examples to illustrate the methodological concepts. The book includes numerous exercises that facilitate and deepen readers’ understanding, and demonstrates how the R package VineCopula can be used to explore and build statistical dependence models from scratch. In closing, the book provides insights into recent developments and open research questions in vine copula based modeling. | |
Разместил: Ingvar16 23-05-2019, 16:19 | Комментарии: 0 | Подробнее
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Название: Разработка приложений для мобильных интеллектуальных систем на платформе Intel Atom
Автор: Амелин К.С., Амелина Н.О., Граничин О.Н., Кияев В.И.
Издательство: М.: НОУ "Интуит"
Год: 2016
Страниц: 201
Формат: PDF
Размер: 21 Мб
Язык: русский
В курсе представлены новые результаты авторов по разработке приложений для мобильных интеллектуальных систем на платформе Intel Atom, прочитанные авторами для студентов Математико-механического факультета СПбГУ, стажеров Лаборатории системного программирования и информационных технологий (СПРИНТ, СПбГУ-Intel) и слушателей молодежных образовательных школ вузов Российской Федерации. | |
Разместил: MIHAIL62 23-05-2019, 15:33 | Комментарии: 0 | Подробнее
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 Название: Intro to Software Development
Автор: Iakiv Kramarenko
Издательство: Leanpub
Год: 2018
Страниц: 147
Язык: английский
Формат: pdf
Размер: 14.1 MB
An introduction to programming and web software development with HTML, CSS, and javascript. The book should be on strength for all — from kids to their parents, with the only prerequisite — be a confident computer user. It should help to taste the development of a real product and determine your role in IT (developer, tester, etc). | |
Разместил: Ingvar16 23-05-2019, 11:26 | Комментарии: 0 | Подробнее
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 Название: Python for beginners: Step-By-Step Guide to Learning Python Programming
Автор: Larry Lutz
Издательство: Amazon Digital Services LLC
ASIN: B07CN7Q9FT
Год: 2018
Страниц: 206
Язык: английский
Формат: epub, azw3, pdf (conv)
Размер: 10.16 MB
Python for beginners. Do You Want to Become An Expert Of PYTHON?? Get this Book and Follow My Step by Step Explanations!
Python language is widely used all over the globe. Its popularity is because of its characteristics and many advantages attached to it. Some of the major advantages are as follows:
Easy-to-Learn, Read and Maintain; A handful of Standard Libraries; Easy development and Test; Extendable to Low-Level languages | |
Разместил: Ingvar16 23-05-2019, 11:15 | Комментарии: 0 | Подробнее
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 Название: Deep Reinforcement Learning for Wireless Networks
Автор: F. Richard Yu, Ying He
Издательство: Springer
Год: 2019
Язык: английский
Формат: pdf (true), djvu
Размер: 15.1 MB
There is a phenomenal burst of research activities in machine learning and wireless systems. Machine learning evolved from a collection of powerful techniques in AI areas and has been extensively used in data mining, which allows the system to learn the useful structural patterns and models from training data. Reinforcement learning is an important branch of machine learning, where an agent learns to take actions that would yield the most reward by interacting with the environment. The main advantage of reinforcement learning is that it works well without prior knowledge of an exact mathematical model of the environment. However, the traditional reinforcement learning approach has some shortcomings, such as low convergence rate to the optimal behavior policy and its inability to solve problems with high-dimensional state space and action space. These shortcomings can be addressed by deep reinforcement learning. | |
Разместил: Ingvar16 23-05-2019, 11:10 | Комментарии: 0 | Подробнее
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 Название: Pragmatic Deep Learning for Dummies
Автор: Benjamin Young
Издательство: Amazon Digital Services LLC
Год: 2019
Язык: английский
Формат: epub, azw3
Размер: 10.1 MB
AI especially Deep Learning has made tremendous progress in recent years. It start to spread to all industries. Quote from Andrew Ng, a famous AI researcher:“AI is the new electricity. About 100 years ago, electricity transformed every major industry. AI has advanced tothe point where it has the power to transform every major sector in coming years. "Unless you are a refresh graduated student with AI/deep learning major, many of us do not have a formal machine learning/deep learning training before, so it is time to keep updated with latest technology. | |
Разместил: Ingvar16 23-05-2019, 11:05 | Комментарии: 0 | Подробнее
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 Название: The Intuitive Guide to Data Structures and Algorithms
Автор: Parker Phinney
Издательство: Amazon Digital Services LLC
ASIN: B07FDLH599
Год: 2018
Страниц: 131
Язык: английский
Формат: epub, azw3, pdf (conv)
Размер: 10.1 MB
This is not a freaking textbook. No confusing academic jargon. No long lists of properties to memorize. No proofs. Because that stuff doesn’t help you actually get it. Here’s what does: Learning what to picture in your head when you think of a dynamic array or a hash map. Learning how to think in algorithms. That’s what this guide is focused on - giving you a visual, intuitive sense for how data structures and algorithms actually work. So if you’ve got a big coding interview coming up, or you never learned data structures and algorithms in school, or you did but you’re kinda hazy on how some of this stuff fits together... This guide will fill in the gaps in your knowledge and make you say, "Oooh, that’s how that works." We’ll walk you through it all, step by step. Starting from the beginning. | |
Разместил: Ingvar16 23-05-2019, 11:03 | Комментарии: 0 | Подробнее
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