Systems and methods are provided to manage risk associated with access to information within a given organization. The overall risk tolerance for the organization is determined and allocated among a plurality of subjects within the organization. Allo…

生命组学-药物基因组学 精准医学的内容有个人全基因组测序,移动可穿戴设备,它可以实时监测,深度学习模型预测疾病,对疾病预测做到有效.安全和可控. 药物基因组学就是研究疾病.化合物和靶点之间的关系,关键是找到能控制疾病的蛋白质结合腔. 遗传性疾病可通过家系研究,非遗传性疾病可通过GWS找突变位点,基于突变情况找治疗方法.SBI是结构生物学与药物分子设计与生信相结合的学科. 药物制造的传统问题是不知道潜在的药物靶标,针对某一症状而不是疾病,广泛测试得到小分子,最后再调整基团,效率极低. 现代的药物基…

With a well defined demarcation point between Redux and our State ADT based model, hooking up to a Redux store is no different than any other Redux based implementation. Once we have all of our transitions represented in dispatchable actions, we can…

http://www.doppioslash.com/ https://github.com/Apress/physically-based-shader-dev-for-unity-2017 Part I: Introduction to Shaders In Unity Chapter 1: How Shader Development Works (已看) Chapter 2: Your First Unity Shader (已看) Chapter 3: The Graphics Pip…

A Complete Tutorial on Tree Based Modeling from Scratch (in R & Python) MACHINE LEARNING PYTHON R   SHARE      MANISH SARASWAT, APRIL 12, 2016 / 52     Introduction Tree based learning algorithms are considered to be one of the best and mostly used s…

目录 一.摘言 二.杂记 三.问题定义和一些准备工作 四.模型真思想 五.实验部分 六.参考文献 一.摘言 之前协同过滤利用user-item交互历史很好的表示了user和item.但是由于用户行为的稀疏性,效果提升有限. 随着社交网络的发展,social recommendation system被提出,利用user的周围邻居的偏好来减轻用户稀疏性,从而得到更好嵌入表示模型. 然而现在的社交网络推荐模型都是简单的利用周围邻居提出静态模型,而没有模拟信息在全局的循环传播过程,这很可能会提升推荐性…

2008-11   Satoshi Nakamoto  Bitcoin: A Peer-to-Peer Electronic Cash System http://p2pbucks.com/?p=9963 https://bitcoin.org/bitcoin.pdf http://www.useit.com.cn/thread-11046-1-1.html 比特币白皮书,一种点对点的电子现金系统 1. 比特币白皮书简介 互联网上的贸易,几乎都需要借助金融机构作为可资信赖的第三方来处理电子支付信…

Awesome Deep Learning  Table of Contents Free Online Books Courses Videos and Lectures Papers Tutorials Researchers WebSites Datasets Frameworks Miscellaneous Contributing Free Online Books Deep Learning by Yoshua Bengio, Ian Goodfellow and Aaron Cou…

This article come from HEREARS-L1: Learning Tuesday 10:30–12:30; Oral Session; Room: Leonard de Vinci 10:30  ARS-L1.1—GROUP STRUCTURED DIRTY DICTIONARY LEARNING FOR CLASSIFICATION Yuanming Suo, Minh Dao, Trac Tran, Johns Hopkins University, USA; Hojj…

CV界的明星人物们 来自:http://blog.csdn.net/necrazy/article/details/9380151,另外根据自己关注的地方,加了点东西. 今天在cvchina论坛上看到的一篇帖子,总结了当前CV界最火的一些人.列举的比较全面了.bfcat还想补充几个,加在后面了. CV人物1:Jianbo Shi史建波毕业于UC Berkeley,导师是Jitendra Malik.其最有影响力的研究成果:图像分割.其于2000年在PAMI上多人合作发表”Noramlized c…