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Disclosed herein is a Residential Gateway (RG) system for home network service. The RG system receives various supplementary services through a Home Network Serving Node (HNSN) that provides home network service. The system includes an Open Service G…

Deep Reinforcement Learning Based Trading Application at JP Morgan Chase https://medium.com/@ranko.mosic/reinforcement-learning-based-trading-application-at-jp-morgan-chase-f829b8ec54f2 FT released a story today about the new application that will op…

In this lesson, we'll filter a list of objects based on multiple conditions and we'll use Ramda's allPass function to create a joint predicate from multiple, individual predicate functions. const R = require('ramda'); const { allPass, propEq, lte, pr…

前言 主体思想:深度聚类需要考虑数据内在信息以及结构信息. 考虑自身信息采用 基础的 Autoencoder ,考虑结构信息采用 GCN. 1.介绍 在现实中,将结构信息集成到深度聚类中通常需要解决以下两个问题. 1.在深度聚类中应该考虑哪些结构性信息? 结构信息表明了数据样本之间潜在的相似性.不仅需要考虑低阶信息还需要考虑高阶信息. 2.结构信息与深度聚类之间的关系是什么? 深度聚类的基本组成部分是深度神经网络(DNN),例如  Autoencoder.Autoencoder  由多层结构组成…

Anveshak:在野外放置边缘服务器 本文为SIGCOMM 2018 Workshop (Mobile Edge Communications, MECOMM)论文. 笔者翻译了该论文.由于时间仓促,且笔者英文能力有限,错误之处在所难免:欢迎读者批评指正. 本文及翻译版本仅用于学习使用.如果有任何不当,请联系笔者删除. 本文作者包含4位,University of Helsinki, Finland的Nitinder Mohan,Aleksandr Zavodovski,Pengyuan Zh…

kaggle 竞赛入门 导入常用的数据分析以及模型的库 数据处理 Data fields 去除异常值 处理缺失值 分析 Utilities Exploratory Data Analysis Correlation matrix BsmtQual BsmtCond BsmtExplosure BsmtFinType1 BsmtFinSF1 BsmtFinType2 BsmtFinSF2 BsmtUnfSF TotalBsmtSF 1stFlrSF 2ndFlrSF LowQualFinSF Bs…

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…

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We’ve got a file structure in place, now let’s start adding things to them! First, we’re going to add some PHP functions to our theme. These functions will serve a variety of purposes, including: adding support for WordPress features such as custom b…