https://github.com/google/cityhash We like to test hash functions with SMHasher, among other things. SMHasher isn't perfect, but it seems to find almost any significant flaw. SMHasher is available at http://code.google.com/p/smhasher/…

//注释掉 #include <iostream.h> //替换为 #include <iostream> using namespace std; Contents Introduction Who should read this? Source code Preparations Environment settings Debugging symbols Debugging When to use a debugger Loading a program Inspectin…

Problem B:Cuckoo for HashingAn integer hash table is a data structure that supports insert, delete and lookup of integer values inconstant time. Traditional hash structures consist of an array (the hash table) of some size n, and ahash function f(x)…

参考文献: 1.Cuckoo Filter hash算法 2.cuckoo hash 用途: Cuckoo Hash(布谷鸟散列).问了解决哈希冲突的问题而提出,利用较少的计算换取较大的空间.占用空间少,查询速度快.经常应用于Bloom Filter和内存管理中.之所以起这个名字是因为布谷鸟生性贪婪,不自己筑巢,而是在别的鸟巢里面鸟蛋孵化,先成长的幼鸟会将别的鸟蛋挤出,这样独享“母爱”,类似于哈希冲突处理过程. 算法描述: 使用hashA.hashB计算对应的key位置: 1.两个位置均为空,则…

转载请声明出处哦~,本篇文章发布于luozhiyun的博客:https://www.luozhiyun.com/archives/453 介绍 在我们工作中,如果遇到如网页 URL 去重.垃圾邮件识别.大集合中重复元素的判断一般想到的是将集合中所有元素保存起来,然后通过比较确定.如果通过性能最好的Hash表来进行判断,那么随着集合中元素的增加,我们需要的存储空间也会呈现线性增长,最终达到瓶颈. 所以很多时候会选择使用布隆过滤器来做这件事.布隆过滤器通过一个固定大小的二进制向量或者位图(bitma…

But this time, with a more product oriented point of view, instead of researching. http://openmymind.net/High-Concurrency-LRU-Caching/ http://www.ebaytechblog.com/2011/08/30/high-throughput-thread-safe-lru-caching/ http://www.cs.cmu.edu/~dga/papers/m…

##机器学习(Machine Learning)&深度学习(Deep Learning)资料(Chapter 2)---#####注:机器学习资料[篇目一](https://github.com/ty4z2008/Qix/blob/master/dl.md)共500条,[篇目二](https://github.com/ty4z2008/Qix/blob/master/dl2.md)开始更新------#####希望转载的朋友**一定要保留原文链接**,因为这个项目还在继续也在不定期更新．希望看到…

一些RL的文献(及笔记) copy from: https://zhuanlan.zhihu.com/p/25770890  Introductions Introduction to reinforcement learningIndex of /rowan/files/rl ICML Tutorials:http://icml.cc/2016/tutorials/deep_rl_tutorial.pdf NIPS Tutorials:CS 294 Deep Reinforcement Lea…

126 篇殿堂级深度学习论文分类整理 从入门到应用 | 干货 雷锋网 作者: 三川 2017-03-02 18:40:00 查看源网址 阅读数:66 如果你有非常大的决心从事深度学习,又不想在这一行打酱油,那么研读大牛论文将是不可避免的一步.而作为新人,你的第一个问题或许是:“论文那么多,从哪一篇读起?” 本文将试图解决这个问题——文章标题本来是:“从入门到绝望,无止境的深度学习论文”.请诸位备好道具,开启头悬梁锥刺股的学霸姿势. 开个玩笑. 但对非科班出身的开发者而言,读论文的确可以成为一件很…

K-DSN 深度堆叠网络 Random Features for Large-Scale Kernel Machines To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. Our randomized fea…