This data set contains WWW-pages collected from computer science departments of various universities in January 1997 by the World Wide Knowledge Base (Web->Kb) project of the CMU text learning group. The 8,282 pages were manually classified into the following categories: student (1641) faculty (1124) staff (137) department (182) course (930) project (504) other (3764)
標(biāo)簽： universities departments WWW-pages collected
上傳時(shí)間： 2015-11-12
上傳用戶：chenlong
Introduction to neural networks, Back Propagation networks, Recurrent networks, Self Oganising networks, Reinforcement learning. Robot Control, Vision systems. Hardware and software Implementaionts.
標(biāo)簽： networks Introduction Propagation Oganising
上傳時(shí)間： 2014-01-14
上傳用戶：xcy122677
3D reconstruction, medical image processing from colons, using intel image processing for based class. This source code. Some code missing but I think you can understand it. Development version. This source code is very interesting for learning segmentation and registration from dataset. This code also has some technique about GPU image processing for ray tracing. Also learn many filter apply for transform from spatial domain to frequency domain.
標(biāo)簽： processing image reconstruction medical
上傳時(shí)間： 2013-12-19
上傳用戶：q123321
windows開源代碼 Microsoft Windows is a complex operating system. It offers so many features and does so much that it s impossible for any one person to fully understand the entire system. This complexity also makes it difficult for someone to decide where to start concentrating the learning effort. Well, I always like to start at the lowest level by gaining a solid
標(biāo)簽： Microsoft operating features windows
上傳時(shí)間： 2015-11-24
上傳用戶：zhuyibin
ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documents. Classification Algorithms include Naive Bayes, KNN
標(biāo)簽： the provides computer download
上傳時(shí)間： 2015-11-29
上傳用戶：ywqaxiwang
This section describes the eSOAP toolkit demo package. It consists of the eSOAP runtime for MS Windows, the demo version of the esoapcg compiler and some source code examples to help developers learning how to use the toolkit ( run-time ) and how to specify service interfaces using the esoap code generator (esaopcg).
標(biāo)簽： eSOAP describes the consists
上傳時(shí)間： 2013-12-26
上傳用戶：aig85
Contents at a Glance Introduction 1 PART I INSTALLATION AND CONFIGURATION 5 Hour 1 Preparing to Install Linux 7 2 Installing Linux 23 3 Post-Installation Issues 41 PART II LEARNING LINUX BASICS 67 Hour 4 Reading and Navigation Commands 69 5 Manipulation and Searching Commands 93 6 Using the Shell 117 7 Using the X Window System 143 8 Exploring the K Desktop Environment 177 PART III CONNECTING TO THE OUTSIDE WORLD 197 Hour 9 Using Communications Programs 199 10 Connecting to the Internet 223 11 Configuring Internet Email 249 12 Configuring Internet News 269 13 Internet Downloading and Browsing 289
標(biāo)簽： CONFIGURATION Introduction INSTALLATION Preparing
上傳時(shí)間： 2013-12-27
上傳用戶：qiao8960
embedded system BootLoader technolegy，have great help for embedded system bootloader learning。
標(biāo)簽： BootLoader technolegy embedded system
上傳時(shí)間： 2016-03-27
上傳用戶：hj_18
模式識(shí)別學(xué)習(xí)綜述.該論文的英文參考文獻(xiàn)為303篇.很有可讀價(jià)值.Abstract— Classical and recent results in statistical pattern recognition and learning theory are reviewed in a two-class pattern classification setting. This basic model best illustrates intuition and analysis techniques while still containing the essential features and serving as a prototype for many applications. Topics discussed include nearest neighbor, kernel, and histogram methods, Vapnik–Chervonenkis theory, and neural networks. The presentation and the large (thogh nonexhaustive) list of references is geared to provide a useful overview of this field for both specialists and nonspecialists.
標(biāo)簽： statistical Classical Abstract pattern
上傳時(shí)間： 2013-11-25
上傳用戶：www240697738
· 第一章:XML快速入門 · 一. 什么是XML？ · 二. XML是新概念嗎？ · 三. 使用XML有什么好處？ · 四. XML很難學(xué)嗎？ · 五. XML和HTML的區(qū)別 · 六. XML的嚴(yán)格格式 · 七. 關(guān)于XML的更多 · 第二章:XML概念 · 一. 擴(kuò)展性 · 二. 標(biāo)識(shí) · 三. 語言 · 四. 結(jié)構(gòu)化 · 五. Meta數(shù)據(jù) · 六. 顯示 · 七. DOM · 第三章:XML的術(shù)語 · 導(dǎo)言 · 一.XML文檔的有關(guān)術(shù)語 · 二.DTD的有關(guān)術(shù)語 · 第四章:XML的語法 · 一.XML語法規(guī)則 · 二.元素的語法 · 三.注釋的語法 · 四.CDATA的語法 · 五.Namespaces的語法 · 六.entity的語法 · 七.DTD的語法 · 第五章:XML實(shí)例解釋 · 一.定義新標(biāo)識(shí) · 二.建立XML文檔 · 三.建立相應(yīng)的HTML文件 · 第六章:XML相關(guān)資源
上傳時(shí)間： 2014-08-21
上傳用戶：獨(dú)孤求源
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