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Xpath https://www.cnblogs.com/chenshaoping/p/5540434.html Awk Sort https://www.cnblogs.com/chengmo/archive/2010/10/09/1846696.html Python urllib2 https://www.cnblogs.com/psv-fuyang/articles/7851017.html 腾讯短信调用 https://blog.csdn.net/LONG_Yi_1994/artic…
Applied Deep Learning Resources A collection of research articles, blog posts, slides and code snippets about deep learning in applied settings. Including trained models and simple methods that can be used out of the box. Mainly focusing on Convoluti…
Unity3D 入门 游戏开发 Unity3D portal game development 作者:韩梦飞沙 Author:han_meng_fei_sha 邮箱:313134555@qq.com E-mail: 313134555 @qq.com 视频学习链接:Video learning link: [教学视频]深入浅出Unity3D——第一篇-何韬-CSDN学院-在线学习教程 u3d 4.6 c#  性能上 比 java脚本 好一些 C # is better than a Java s…
Data arrangement 1.Reference Webs http://nlp.csai.tsinghua.edu.cn/~tcc/ https://blog.csdn.net/a609640147/article/details/89562262 https://blog.csdn.net/liudingbobo/article/details/83039233 https://blog.csdn.net/lzglzj20100700/article/details/84965339…
learning to link with wikipedia 一.本文目标: 如何自动识别非结构化文本中提到的主题,并将其链接到适当的Wikipedia文章中进行解释. 二.主要借鉴论文: Mihalcea and Csomai----Wikify!: linking documents to encyclopedic knowledge 第一步:detection(identifying the terms and phrases from which links should be mad…
Learning to Rank入门小结 + 漫谈 Learning to Rank入门小结 Table of Contents 1 前言 2 LTR流程 3 训练数据的获取4 特征抽取 3.1 人工标注 3.2 搜索日志 3.3 公共数据集 5 模型训练 5.1 训练方法 5.1.1 Pointwise 5.1.2 Pairwise 5.1.3 Listwise 6 效果评估7 参考 6.1 NDCG(Normalized Discounted Cumulative Gain) 6.1.1 定…
Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation Google  2016.10.06 官方 Blog 链接:https://research.googleblog.com/2016/10/graph-powered-machine-learning-at-google.html 今天讲的是一个基于 streaming approximation 的大规模分布式半监督学习框架,出自 Goo…
Final Version 1.1 Date Issued:            13 March 2012 Latest version:         http://www.imsglobal.org/lti/ IPR and Distribution Notices Recipients of this document are requested to submit, with their comments, notification of any relevant patent c…
Candidate Elimination Thanks for Sanketh Vedula. This is a good demo to understand candidate elimination algorithm that I have optimized based on this guy's good work. rika@rika-UX303UB$ ./a.out <Input> Number of Features: <Input> Number of At…
几个不错的深度学习教程,基本都有视频和演讲稿.附两篇综述文章和一副漫画.还有一些以后补充. Jeff Dean 2013 @ Stanford http://i.stanford.edu/infoseminar/dean.pdf 一个对DL能干什么的入门级介绍,主要涉及Google在语音识别.图像处理和自然语言处理三个方向上的一些应用.参<Spanner and Deep Learning>(2013-01-19) Hinton 2009 A tutorial on Deep Learning…