经典书籍:An Introduction to the Theory of Graph Spectra PDF版
2019-12-21 19:53:57 9.55MB Graph Spectra
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这是一份关于博弈论的核心概念的基础教程,里面对博弈论的基础知识进行了简洁明了的说明。
2019-12-21 19:53:13 1.65MB Game Theory 博弈论
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System Identification Theory for the User-Lennart Ljun-第二版-英文版
2019-12-21 19:51:29 17.94MB 系统辨识 Lennart Ljun System
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自适应滤波的经典教材,讲解详细,2013第二版,增加了很多最新的内容
2019-12-21 19:51:16 8MB 自适应滤波
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This book came originally fromlecture notes used to teach students on computational/theoretical vision. Some readers may find that a paper, Zhaoping (2006) “Theoretical understanding of the early visual processes by data compression and data selection” in Network: Computation in neural systems 17(4):301-334, is an abbreviation of some parts in chapter 2-4 of this book
2019-12-21 19:51:05 7.29MB 图像处理 视觉系统
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这是一本最新很不错的关于线性系统的书,对数学专业、控制专业的学者会很有帮助。友情提醒:本书电子版仅供个人学习之用,若有任何商业目的,后果自负哦。
2019-12-21 19:50:31 2.09MB Linear Systems Theory control
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the exercise solution for book ' understanding machine learning from theory to algorithms. 作者Shai Shalev-Shwartz 和 Shai Ben-David
2019-12-21 19:48:49 543KB machine learning solution Shai
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Computational learning theory is a subject which has been advancing rapidly in the last few years. The authors concentrate on the probably approximately correct model of learning, and gradually develop the ideas of efficiency considerations. Finally, applications of the theory to artificial neural networks are considered. Many exercises are included throughout, and the list of references is extensive. This volume is relatively self contained as the necessary background material from logic, probability and complexity theory is included. It will therefore form an introduction to the theory of computational learning, suitable for a broad spectrum of graduate students from theoretical computer science and mathematics.
2019-12-21 19:47:42 26.33MB 计算论
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一本介绍coding theory的书籍,作为入门不错。
2019-12-21 19:47:26 709KB coding introduction 编码
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一篇今年3月份的外文综述《Compressed Sensing: Theory and Applications》(22页),我把它译成了中文,原文附后。
2019-12-21 19:47:12 1.97MB 压缩感知 稀疏表示 compressed sensing
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