<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[bamn84711的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/bamn84711</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; bamn84711]]></copyright><item><title><![CDATA[c++ 二维数组传递]]></title><link>https://blog.youkuaiyun.com/bamn84711/article/details/101095205</link><guid>https://blog.youkuaiyun.com/bamn84711/article/details/101095205</guid><author>bamn84711</author><pubDate>Sun, 21 Aug 2016 07:25:00 +0800</pubDate><description><![CDATA[c++ 二维数组传递
　　我们在传递二维数组时，对于新手来说，可能会存在某些问题，下面讲解几种传递方法
　　在讲解如何传递二维数组时，先看看如何动态new 二维数组

 1 // 二维数组动态申请
 2     int row ,col ;
 3     cin &gt;&gt; row &gt;&gt; col;
 4     
 5     int** arr;
 ...]]></description><category></category></item><item><title><![CDATA[c++ auto_ptr智能指针]]></title><link>https://blog.youkuaiyun.com/bamn84711/article/details/101095203</link><guid>https://blog.youkuaiyun.com/bamn84711/article/details/101095203</guid><author>bamn84711</author><pubDate>Tue, 12 Jul 2016 11:14:00 +0800</pubDate><description><![CDATA[c++ auto_ptr智能指针
该类型在头文件memory中，在程序的开通通过 #include&lt;memory&gt; 导入，接下来讲解该智能指针的作用和使用。
使用方法：
　　auto_ptr&lt;type&gt; ptr(new type());  这是该指针的定义形式，其中 type 是指针指向的类型，ptr 是该指针的名称。
　　比如该type 是int，具体...]]></description><category></category></item><item><title><![CDATA[安全试验资源]]></title><link>https://blog.youkuaiyun.com/bamn84711/article/details/101095215</link><guid>https://blog.youkuaiyun.com/bamn84711/article/details/101095215</guid><author>bamn84711</author><pubDate>Tue, 17 May 2016 08:27:00 +0800</pubDate><description><![CDATA[http://www.cnblogs.com/therock/articles/2957148.html
RSA算法生成公钥和私钥



http://www.cnblogs.com/yank/p/3533998.html

　　 数字签名

　　


转载于:https://www.cnblogs.com/ChenAlong/p/5500214.html...]]></description><category></category></item><item><title><![CDATA[生活知识]]></title><link>https://blog.youkuaiyun.com/bamn84711/article/details/101095200</link><guid>https://blog.youkuaiyun.com/bamn84711/article/details/101095200</guid><author>bamn84711</author><pubDate>Mon, 16 May 2016 21:43:00 +0800</pubDate><description><![CDATA[http://www.360doc.com/content/11/0525/08/460866_119201037.shtml 换挡知识


转载于:https://www.cnblogs.com/ChenAlong/p/5499622.html]]></description><category></category></item><item><title><![CDATA[spark 特殊函数]]></title><link>https://blog.youkuaiyun.com/bamn84711/article/details/101095212</link><guid>https://blog.youkuaiyun.com/bamn84711/article/details/101095212</guid><author>bamn84711</author><pubDate>Wed, 04 May 2016 15:27:00 +0800</pubDate><description><![CDATA[private var seed: Long = System.nanoTime()//返回最准确的可用系统计时器的当前值，以毫微秒为单位


require(storageLevel != StorageLevel.NONE,  "ALS is not designed to run without persisting intermediate RDDs.") 相当于c...]]></description><category></category></item><item><title><![CDATA[c++ 中string用c输入输出]]></title><link>https://blog.youkuaiyun.com/bamn84711/article/details/101095198</link><guid>https://blog.youkuaiyun.com/bamn84711/article/details/101095198</guid><author>bamn84711</author><pubDate>Thu, 31 Mar 2016 23:31:00 +0800</pubDate><description><![CDATA[对于string自带的函数 c_str()返回的const char*类型，对于scanf函数不能使用，可以通过如下方法使用

　　　string s;
　　　scanf("%s",&amp;*s.begin())  =&gt; s.begin() 返回的是一个const char* 常量指针，通过*对其取类容，再通过&amp;地址符得到字符指针。

对于string类型...]]></description><category></category></item><item><title><![CDATA[相似度计算]]></title><link>https://blog.youkuaiyun.com/bamn84711/article/details/101095190</link><guid>https://blog.youkuaiyun.com/bamn84711/article/details/101095190</guid><author>bamn84711</author><pubDate>Mon, 29 Feb 2016 21:22:00 +0800</pubDate><description><![CDATA[详解见网址 ：https://dato.com/products/create/docs/generated/graphlab.recommender.item_similarity_recommender.ItemSimilarityRecommender.html?__hstc=8457130.bb311fd08c8f8aff1469489de1cfa928.142959891701...]]></description><category></category></item><item><title><![CDATA[特征选取]]></title><link>https://blog.youkuaiyun.com/bamn84711/article/details/101095194</link><guid>https://blog.youkuaiyun.com/bamn84711/article/details/101095194</guid><author>bamn84711</author><pubDate>Mon, 29 Feb 2016 21:19:00 +0800</pubDate><description><![CDATA[特征选取的方式

　　文档频率
   信息增益（决策树中的信息熵）
   户信息量
  λ2测试




转载于:https://www.cnblogs.com/ChenAlong/p/5228961.html...]]></description><category></category></item><item><title><![CDATA[LDA（文档主题模型）]]></title><link>https://blog.youkuaiyun.com/bamn84711/article/details/101095210</link><guid>https://blog.youkuaiyun.com/bamn84711/article/details/101095210</guid><author>bamn84711</author><pubDate>Mon, 29 Feb 2016 17:57:00 +0800</pubDate><description><![CDATA[LSA latent semantic analysis

　　　　映射词-文档到一个低维隐语义空间
　　　　比较词和文档在低纬空间的相似性

topic 是 Vocab 上的概率分布（符合多项式分布）
文档到主题的一个分布，主题到词库的分布，通过训练得到这两个分布模型
plsa 模型
LDA模型
大规模LDA系统

　　spark LDA
   G...]]></description><category></category></item><item><title><![CDATA[scala学习心得3]]></title><link>https://blog.youkuaiyun.com/bamn84711/article/details/101095209</link><guid>https://blog.youkuaiyun.com/bamn84711/article/details/101095209</guid><author>bamn84711</author><pubDate>Sun, 28 Feb 2016 09:22:00 +0800</pubDate><description><![CDATA[在scala中可以定义函数字面量参数，定义方式如下：



转载于:https://www.cnblogs.com/ChenAlong/p/5224067.html]]></description><category></category></item><item><title><![CDATA[scala学习心得（2）]]></title><link>https://blog.youkuaiyun.com/bamn84711/article/details/101095187</link><guid>https://blog.youkuaiyun.com/bamn84711/article/details/101095187</guid><author>bamn84711</author><pubDate>Sun, 28 Feb 2016 00:32:00 +0800</pubDate><description><![CDATA[scala类中可以通过override 重载方法
scala定义的函数式类不可被改变，这样传进去的参数就需要提前被检验，可以通过scala.predef包中的方法require方法
定义辅助构造器

　　def this(n:Int) = this(n,1)

可以在解释器中定义隐式转换规则，比如 implicit def IntToRational(n:Int) = n...]]></description><category></category></item><item><title><![CDATA[scala 学习心得]]></title><link>https://blog.youkuaiyun.com/bamn84711/article/details/101095183</link><guid>https://blog.youkuaiyun.com/bamn84711/article/details/101095183</guid><author>bamn84711</author><pubDate>Fri, 26 Feb 2016 22:17:00 +0800</pubDate><description><![CDATA[scala 安装步骤

　　文件下载地址：www.scala-lang.org(Please report bugs at https://issues.scala-lang.org/.We welcome contributions at https://github.com/scala/scala)
  解压缩文件，在该文件的bin目录下运行如下命令　　

...]]></description><category></category></item><item><title><![CDATA[codeforce div 377]]></title><link>https://blog.youkuaiyun.com/bamn84711/article/details/101095208</link><guid>https://blog.youkuaiyun.com/bamn84711/article/details/101095208</guid><author>bamn84711</author><pubDate>Fri, 15 Jan 2016 09:18:00 +0800</pubDate><description><![CDATA[#include &lt;bits/stdc++.h&gt;
using namespace std;



#define pb push_back
#define lb lower_bound
#define ull unsigned ll
#define gcd(a,b) __gcd(a,b)
#define pii pair&lt;int,int&gt;
...]]></description><category></category></item><item><title><![CDATA[协同过滤算法]]></title><link>https://blog.youkuaiyun.com/bamn84711/article/details/101095181</link><guid>https://blog.youkuaiyun.com/bamn84711/article/details/101095181</guid><author>bamn84711</author><pubDate>Thu, 14 Jan 2016 20:43:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/ChenAlong/p/5131605.html]]></description><category></category></item><item><title><![CDATA[anomaly detection algorithm]]></title><link>https://blog.youkuaiyun.com/bamn84711/article/details/101095206</link><guid>https://blog.youkuaiyun.com/bamn84711/article/details/101095206</guid><author>bamn84711</author><pubDate>Wed, 13 Jan 2016 20:05:00 +0800</pubDate><description><![CDATA[anomaly detection algorithm


以上就是异常监测算法流程

转载于:https://www.cnblogs.com/ChenAlong/p/5128340.html]]></description><category></category></item><item><title><![CDATA[Principal Component Analysis(PCA) algorithm summary]]></title><link>https://blog.youkuaiyun.com/bamn84711/article/details/101095204</link><guid>https://blog.youkuaiyun.com/bamn84711/article/details/101095204</guid><author>bamn84711</author><pubDate>Wed, 13 Jan 2016 18:29:00 +0800</pubDate><description><![CDATA[Principal Component Analysis(PCA) algorithm summary

mean normalization(ensure every feature has sero mean)
Sigma = 1/m∑(xi)(xi)T
[U,S,V] = svd(Sigma)
ureduce =u(:,1:K)
Z = ureduce ' * X...]]></description><category></category></item><item><title><![CDATA[垃圾邮件过滤优化方法]]></title><link>https://blog.youkuaiyun.com/bamn84711/article/details/101095179</link><guid>https://blog.youkuaiyun.com/bamn84711/article/details/101095179</guid><author>bamn84711</author><pubDate>Sat, 09 Jan 2016 20:33:00 +0800</pubDate><description><![CDATA[垃圾邮件过滤优化方法

通过honeypot project 搜集大量垃圾邮件数据
通过解析邮件header 获取垃圾邮件发送路径和服务器相关信息
对编写错误的单词的修正 比如：w4tch
对相同含义的词进行归类处理，比如：discount 和discounts  （可以通过porter stemmer，下面就是该算法c语言的一种实现）

/* This is the P...]]></description><category></category></item><item><title><![CDATA[随机梯度下降法]]></title><link>https://blog.youkuaiyun.com/bamn84711/article/details/101095177</link><guid>https://blog.youkuaiyun.com/bamn84711/article/details/101095177</guid><author>bamn84711</author><pubDate>Sun, 20 Dec 2015 22:04:00 +0800</pubDate><description><![CDATA[当不同特征中数据范围不一致时，最好对特征进行归一化处理
在进行求解最优解时，通过调节参数alpha，可以加快求解的过程
特征的选择也是非常重要


转载于:https://www.cnblogs.com/ChenAlong/p/5062005.html...]]></description><category></category></item><item><title><![CDATA[linux 下文件节点索引]]></title><link>https://blog.youkuaiyun.com/bamn84711/article/details/101095173</link><guid>https://blog.youkuaiyun.com/bamn84711/article/details/101095173</guid><author>bamn84711</author><pubDate>Mon, 26 Oct 2015 14:57:00 +0800</pubDate><description><![CDATA[最近发现一个奇怪的问题，就是一个pyhton 后台的服务一直打印日志文件，在中间我用vim看日志文件，关闭时习惯性的:wq退出，在此之后日志文件就不输出了。
1　　对于这个现象我开始认为是python logging模块存在问题，对文件异常处理不好
2　　后来看文件的inode信息，发现python程序不管是修改还是追加都不会改变文件的inode信息，而vim以修改方式关闭文件时则是...]]></description><category></category></item><item><title><![CDATA[python  mapplotlib]]></title><link>https://blog.youkuaiyun.com/bamn84711/article/details/101095202</link><guid>https://blog.youkuaiyun.com/bamn84711/article/details/101095202</guid><author>bamn84711</author><pubDate>Thu, 01 Oct 2015 16:46:00 +0800</pubDate><description><![CDATA[http://liam0205.me/2014/09/11/matplotlib-tutorial-zh-cn/  这是讲解比较详细的样列

自己做的一些笔记
# -*- coding: utf-8 -*-# -----------------------------------------------------------------------------# Copyri...]]></description><category></category></item></channel></rss>