汽车设计院校毕业设计作品展

短消息服务（SMS）消息是一个人从他们的手机发送到另一个人的短消息。它们代表了一种个人交流手段，是当今数字时代重要的交流产物。此数据集包含SMS消息，这些消息是从知道他们正在参加研究项目的用户收集的，并且他们的消息将被公开共享。该数据集包含两种语言的两种SMS消息：新加坡英语和普通话。 smsCorpus_zh_2015.03.09.json smsCorpus_en_2015.03.09_all.json

South China University of Technology研究生资料1.zip

South China University of Technology研究生资料2.zip

South China University of Technology研究生资料3.zip

哥伦比亚大学处理和未处理的图像数据集 Columbia University Object Image Library(COIL)__datasets.txt

公交车时间表 复旦大学微信小程序公交时刻表/复旦大学校车时刻表微信小程序 截屏 特征 便捷的复旦校车查询工具，自动加载常用路线当天的时刻表，可通过选择器查看其他时间或路线的时刻表。信息查询 网络状态：用户昵称右侧提示网络连接状态，请在有网络连接的情况下使用，否则将无法加载时刻表，加载/更改常用路线 常用路线：出发/到达，通过设为常用按钮把当前路线设为常用路线 当前日期：周几/是否工作日/时间段，自动选择是否工作日，并加载常用路线对应的时刻表 选择器：查看其他时间或路线的时刻表 时刻表：包括出发/到达地点，下一班次发车时间，发车时间列表 校车调整通知：了解最新校车运行调整安排 联系客服：直接咨询客服人员 先决条件 由于wx-server-sdk用于云功能，因此必须通过以下命令将wx-server-sdk依赖项安装在每个云功能的根目录中： npm install --save wx-ser

This book presents a systematic account of optical coherence theory within the framework of classical optics, as applied to such topics as radiation from sources of different states of coherence, foundations of radiometry, effects of source coherence on the spectra of radiated fields, coherence theory of laser modes, and scattering of partially coherent light by random media. The book starts with a full mathematical introduction to the subject area and each chapter concludes with a set of exercises. The authors are renowned scientists and have made substantial contributions to many of the topics treated in the book. Much of the book is based on courses given by them at universities, scientific meetings and laboratories throughout the world.

MARIE.js 当前版本： 1.3.0 MARIE.js是JavaScript中 （Linda Null，Julia Lobur）中“真正直观且容易实现的机器架构”模拟器的实现。 它用于单元 设置 最新稳定版： ： 最新版本： ： 这是针对想要开发，构建或部署MARIE.js项目的Web开发人员的。 如果是您，请继续阅读下面的内容。 MARIE.js本质上是一个没有服务器或数据库的仅前端站点。 我们使用的工具是npm和grunt ，这使开发该项目更加容易。 建议您使用类似Unix的操作系统来构建，测试和运行代码。 您需要安装npm ，然后运行以下命令来安装依赖项，构建发行版本，运行localhost服务器以及打开指向localhost站点的默认浏览器。 npm run start 发展 要测试和构建MARIE.js的开发版本，请运行以下命令。 npm run s

The eld of arti cial intelligence (AI) and the law is on the cusp of a revolution that began with text analytic programs like IBM’s Watson and Debater and the open-source informa- tion management architectures on which they are based. Today, new legal applications are beginning to appear, and this book – designed to explain computational processes to non-programmers – describes how they will change the practice of law, speci cally by connecting computational models of legal reasoning directly with legal text, generat- ing arguments for and against particular outcomes, predicting outcomes, and explaining these predictions with reasons that legal professionals will be able to evaluate for them- selves. These legal apps will support conceptual legal information retrieval and enable cognitive computing, enabling a collaboration between humans and computers in which each performs the kinds of intelligent activities that they can do best. Anyone interested in how AI is changing the practice of law should read this illuminating work. Dr. Kevin D. Ashley is a Professor of Law and Intelligent Systems at the University of Pittsburgh, Senior Scientist, Learning Research and Development Center, and Adjunct Professor of Computer Science. He received a B.A. from Princeton University, a JD from Harvard Law School, and Ph.D. in computer science from the University of Mas- sachusetts. A visiting scientist at the IBM Thomas J. Watson Research Center, NSF Presidential Young Investigator, and Fellow of the American Association for Arti cial Intelligence, he is co-Editor-in-Chief of Arti cial Intelligence and Law and teaches in the University of Bologna Erasmus Mundus doctoral program in Law, Science, and Technology.