The main aim of this book is to present a unified, systematic description of basic and advanced problems, methods and Algorithms of the modern con- trol theory considered as a foundation for the design of computer control and management systems. The scope of the book differs considerably from the topics of classical traditional control theory mainly oriented to the needs of automatic control of technical devices and technological proc- esses. Taking into account a variety of new applications, the book presents a compact and uniform description containing traditional analysis and op- timization problems for control systems as well as control problems with non-probabilistic models of uncertainty, problems of learning, intelligent, knowledge-based and operation systems – important for applications in the control of manufacturing processes, in the project management and in the control of computer systems.
上传时间： 2020-06-10
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Modern information technologies and the advent of machines powered by artificial intelligence (AI) have already strongly influenced the world of work in the 21st century. Computers, Algorithms and software simplify everyday tasks, and it is impossible to imagine how most of our life could be managed without them. However, is it also impossible to imagine how most process steps could be managed without human force? The information economy characterised by exponential growth replaces the mass production industry based on economy of scales
标签： AI-and-Robotics-IBA-GEI-April 2017
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Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference Algorithms such as variational Bayes and expectation propa- gation. Similarly, new models based on kernels have had significant impact on both Algorithms and applications.
标签： Bishop-Pattern-Recognition-and-Ma chine-Learning
上传时间： 2020-06-10
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Artificial Intelligence (AI) has undoubtedly been one of the most important buz- zwords over the past years. The goal in AI is to design Algorithms that transform com- puters into “intelligent” agents. By intelligence here we do not necessarily mean an extraordinary level of smartness shown by superhuman; it rather often involves very basic problems that humans solve very frequently in their day-to-day life. This can be as simple as recognizing faces in an image, driving a car, playing a board game, or reading (and understanding) an article in a newspaper. The intelligent behaviour ex- hibited by humans when “reading” is one of the main goals for a subfield of AI called Natural Language Processing (NLP). Natural language 1 is one of the most complex tools used by humans for a wide range of reasons, for instance to communicate with others, to express thoughts, feelings and ideas, to ask questions, or to give instruc- tions. Therefore, it is crucial for computers to possess the ability to use the same tool in order to effectively interact with humans.
标签： Embeddings Processing Language Natural in
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Computer science as an academic discipline began in the 1960’s. Emphasis was on programming languages, compilers, operating systems, and the mathematical theory that supported these areas. Courses in theoretical computer science covered finite automata, regular expressions, context-free languages, and computability. In the 1970’s, the study of Algorithms was added as an important component of theory. The emphasis was on making computers useful. Today, a fundamental change is taking place and the focus is more on a wealth of applications. There are many reasons for this change. The merging of computing and communications has played an important role. The enhanced ability to observe, collect, and store data in the natural sciences, in commerce, and in other fields calls for a change in our understanding of data and how to handle it in the modern setting. The emergence of the web and social networks as central aspects of daily life presents both opportunities and challenges for theory.
标签： Foundations Science Data of
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This book is a general introduction to machine learning that can serve as a reference book for researchers and a textbook for students. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of Algorithms. It also describes several key aspects of the application of these Algorithms.
标签： Foundations Learning Machine 2nd of
上传时间： 2020-06-10
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Machine learning is about designing Algorithms that automatically extract valuable information from data. The emphasis here is on “automatic”, i.e., machine learning is concerned about general-purpose methodologies that can be applied to many datasets, while producing something that is mean- ingful. There are three concepts that are at the core of machine learning: data, a model, and learning.
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高通蓝牙芯片QCC5144 详细规格手册datasheet （共99页）含各个接口说明，应用原理图等信息。 QualcommTrueWireless™ stereo earbuds (无线双耳） Features（特点） ■ Qualifiedto Bluetooth v5.2 specification （蓝牙协议标准5.2） ■ 120 MHz Qualcomm ® Kalimba ™ audio DSP （120MHz 的音频DSP处理器） ■ 32 MHz/80MHz Developer Processor for applications ■ Firmware Processor for system ■ Flexible QSPI flash programmable platform （可编程的QSPI外挂存储器） ■ High-performance 24‑bit audio interface （高性能的24位音频接口） ■ Digital and analog microphone interfaces （含 数字 及模拟 MIC接口） ■ Flexible PIO controller and LED pins with PWM support ■ Serial interfaces: UART, Bit Serializer (I²C/SPI), USB 2.0 （支持串口，I2C， SPI，USB 接口） ■ Advanced audio Algorithms （高级的音频算法） ■ ActiveNoise Cancellation: （支持ANC 主动降噪功能） Hybrid, Feedforward, and Feedback modes, using Digital or Analog Mics, enabled using license keys available from Qualcomm® ■ Qualcomm ® aptX ™ and aptX HD Audio （支持独特的aptx 功能）
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高通蓝牙芯片QCC3040 详细规格手册datasheet （共96页）QualcommTrueWireless™ stereo earbuds (无线双耳）Features（特点）■ Qualifiedto Bluetooth v5.2 specification （蓝牙协议标准5.2）■ 120 MHz Qualcomm ® Kalimba ™ audio DSP （120MHz 的音频DSP处理器）■ 32 MHz Developer Processor for applications （32MH的 应用处理器）■ Firmware Processor for system■ Flexible QSPI flash programmable platform （可编程的QSPI外挂存储器）■ High-performance 24‑bit audio interface （高性能的24位音频接口）■ Digital and analog microphone interfaces （含 数字 及模拟 MIC接口）■ Flexible PIO controller and LED pins with PWM support■ Serial interfaces: UART, Bit Serializer (I²C/SPI), USB 2.0 （支持串口，I2C， SPI，USB 接口）■ Advanced audio Algorithms （高级的音频算法）■ ActiveNoise Cancellation: （支持ANC 主动降噪功能）Hybrid, Feedforward, and Feedback modes, using Digitalor Analog Mics, enabled using license keys available from Qualcomm®■ Qualcomm ® aptX ™ and aptX HD Audio （支持独特的aptx 功能）
上传时间： 2022-04-09
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C算法(第一卷)-带目录.pdfC语言数值算法程序大全（第二版）.pdfC语言经典算法大全.pdfff6f5d529e875d2bec2713adc98d25b477aa8a63.pdfIntroduction to Algorithms(3rd Edition).pdfMATLAB语言常用算法程序集.pdfNetflix Prize中的协同过滤算法.pdfp范数正则化支持向量机分类算法_刘建伟.pdf[数据结构与算法分析C.描述].(美国)Mark.Allen.Weiss.扫描版.pdf[程序语言的奥妙：算法解读（四色全彩）].(杉浦贤).李克秋.扫描版.pdf《算法导论(原书第3版)》.pdf【爱生活的程序员-气宗】算法导论（第三版）.pdf【算法（第4版）迷你书】.pdf一种基于灰度变换的红外图像增强算法.pdf一种改进的支持向量机的文本分类算法.pdf一种静态图像压缩编码算法的改进.pdf个性化搜索引擎推荐算法研究.pdf分布式计算——原理、算法和系统.pdf十五个经典算法研究与总结、目录+索引by_July (1).pdf十五个经典算法研究与总结、目录+索引by_July.pdf十大滤波算法程序大全（Arduino精编无错版） - Powered by Discuz!.pdf图论及其算法.pdf基于模拟退火与遗传算法结合的神经网络图像分割.pdf大数据算法.PDF嵌入式系统软件设计中的常用算法 （周航慈 清晰.pdf支持向量机通俗导论（理解SVM的三层境界） - 结构之法 算法之道 - 博客频道 - CSDN.pdf支持向量机：理论、算法与拓展.pdf改进的基于DCT的自适应水印算法(重要).pdf数学建模MATLAB算法大全.pdf数学建模竞赛中应当掌握的十类算法.pdf数据挖掘十大算法(英).pdf数据结构与算法分析 C++描述(高清非扫描).pdf最优化理论与算法(第2版).pdf机器学习十大算法(9)：朴素贝叶斯.pdf算法 英文版第4版 Robert Sedgewick .pdf.pdf算法(algorithm)手写代码必备手册(C++版).pdf算法导论(CLRS)笔记.p...
标签： 算法
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