Recommended Books Here is a list of books which I have read and feel it is worth recommending to friends who are interested in computer science. Machine Learning Pattern Recognition and Machine Learning Christopher M. Bishop A new treatment of classi…

What is machine learning? One area of technology that is helping improve the services that we use on our smartphones, and on the web, is machine learning. Sometimes, the terms machine learning and artificial intelligence get used as synonyms, especia…

宽度学习(Broad Learning System) 2018-09-27 19:58:01 颹蕭蕭 阅读数 10498  收藏 文章标签: 宽度学习BLBLS机器学习陈俊龙 更多 分类专栏: 机器学习   版权声明:本文为博主原创文章,遵循CC 4.0 BY-SA版权协议,转载请附上原文出处链接和本声明. 本文链接:https://blog.csdn.net/itnerd/article/details/82871734 一.宽度学习的前世今生 宽度学习系统(BLS) 一词的提出源于澳门大学…

size_t size_t. A basic unsigned integer C/C++ type. It is the type of the result returned by sizeof operator. The type's size is chosen so that it could store the maximum size of a theoretically possible array of any type. On a 32-bit system size_t w…

Please note: this article has been superceded by the documentation for the ChannelAdam WCF Library. Background In my previous article, How To Call WCF Services Properly, I researched and highlighted the typical problems with using WCF clients (such a…

Scala是基于JVM的一种通用函数式也是面向对象编程语言,能和Java.C#等主流的编程语言无缝融合. 下面给大家推荐一些Scala的学习资料,序号靠前的重要性比较高. 1.Scala初学指南 (1)Twitter Scala课堂 (2)Scala官方文档 Scala入门 (3)Scala之旅 这个网址非常好,对于scala的理解非常有帮助 (4)Learning Scala (5)Effective Scala Twitter的Scala最佳实践.对理解Twitter的代码风格非常有用 (6…

Policy Gradient Algorithms 2019-10-02 17:37:47 This blog is from: https://lilianweng.github.io/lil-log/2018/04/08/policy-gradient-algorithms.html Abstract: In this post, we are going to look deep into policy gradient, why it works, and many new polic…

you can find it on YouTube:Learning English with EnglishClass101.com 10 Habits of highly Effective Learners 1. Set small, measurable goals with deadlines small goals: learn 100 words in a month! complete 30 audio lessons in a month (Deadline:Nov 30)…

这篇论文是在 Recursive Partitioning for Heterogeneous Casual Effects 的基础上加入了两个新元素: Trigger:对不同群体的treatment选择个性化阈值. E.g优惠券力度,红包金额 新的Node Penalty: 旨在增强模型generalization 论文 C. Tran and E. Zheleva, "Learning triggers for heterogeneous treatment effects," i…

Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition ICCV 2019 (oral) 2019-08-01 15:08:19 Paper:https://arxiv.org/abs/1907.13369 1. Backgroud and Motivation: 本文提出一种基于多智能体强化学习的未裁剪视频识别模型,来自适应的从未裁剪视频中,截取出样本视频…