02 2013 档案

摘要:http://www.doingkong.com/?p=1#comment-99http://www.doingkong.com/?p=68#comment-87 阅读全文
posted @ 2013-02-28 19:33 Tandy 阅读(203) 评论(0) 推荐(0)
摘要:http://www.celebritymoviearchive.com/tour/source.php/3073 阅读全文
posted @ 2013-02-28 09:41 Tandy 阅读(4745) 评论(0) 推荐(0)
摘要:http://www.52nlp.cn/hmm-learn-best-practices-one-introduction 阅读全文
posted @ 2013-02-27 13:32 Tandy 阅读(147) 评论(0) 推荐(0)
摘要:http://52opencourse.com/301/deep-learning-for-nlp-without-magic-acl-2012-tutorial-%E7%9B%B8%E5%85%B3%E8%A7%86%E9%A2%91%E5%8F%8A%E8%AF%BE%E4%BB%B6?show=420#c420 阅读全文
posted @ 2013-02-26 13:09 Tandy 阅读(311) 评论(0) 推荐(0)
摘要:http://52opencourse.com/12/%E6%96%AF%E5%9D%A6%E7%A6%8F%E5%A4%A7%E5%AD%A6%E6%A6%82%E7%8E%87%E5%9B%BE%E6%A8%A1%E5%9E%8B%E8%AF%BE%E7%A8%8Bppthttp://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=ProbabilisticGraphicalModels 阅读全文
posted @ 2013-02-26 13:00 Tandy 阅读(875) 评论(0) 推荐(0)
摘要:https://github.com/dgboy2000/sparseAutoencoder 阅读全文
posted @ 2013-02-21 19:59 Tandy 阅读(254) 评论(0) 推荐(0)
摘要:首先用maven构建项目框架,然后写完code之后(详见:http://www.cnblogs.com/flying5/archive/2011/05/04/2078408.html),采用maven package打包成jar包:wordcount.jar。然后拷贝到布置好的hadoop服务器上。构建输入数据:hadoop fs -put input1.txt ./input/wordcounthadoop fs -put input2.txt ./input/wordcount运行job即可:hadoop jar wordcount.jar com.*.wordcount.job.JobR 阅读全文
posted @ 2013-02-19 13:00 Tandy 阅读(507) 评论(0) 推荐(0)