15/07/2019-21/07/2019 Task List: 1.uow homework including vocabulary and listening 2.ASL's dictation homework 3.preview unit6-unit10 4.finish ML course's first project: Use linear regression to predict housing prices 5.hand in uow application materia…

这份代码大概不是严格意义上正确的,但是一般场景用用应该没问题. using System; using System.Collections.Generic; using System.Linq; using System.Text; namespace Tools { public static class PY { #region 拼音对照表 private static string py = @" 一 yi 丁 ding,zheng 七 qi 丄 shang 丅 xia 丆 万 mo,w…

Ryuji is not a good student, and he doesn't want to study. But there are n books he should learn, each book has its knowledge a[i]a[i]. Unfortunately, the longer he learns, the fewer he gets. That means, if he reads books from ll to rr, he will get a…

郑重声明:原文参见标题,如有侵权,请联系作者,将会撤销发布! 1.Abstract: 本文主要介绍的是2015年以来关于深度图像/视频编码的代表性工作,主要可以分为两类:深度编码方案以及基于传统编码方案的深度工具.对于深度编码方案,像素概率建模和自动编码器是两种方法,分别可以看作是预测编码方案和变换编码方案.对于深度工具,有几种使用深度学习来执行帧内预测.帧间预测.跨通道预测.概率分布预测.变换.后处理.环内滤波器.上/下采样以及编码优化的建议技术.为了倡导基于深度学习的视频编码研究,本文对我们…

第一种方法: 用两重循环对每对点都试一下,然后取最大值即可,时间复杂度为O(n2) #include <iostream> #include <algorithm> using namespace std; int maxIndexDiff(int a[],int n){ ; ; i < n; ++ i){ ; j > i ; --j){ if(a[j]>a[i]) maxDiff = max(maxDiff,j-i); } } return maxDiff; }…

1.Plan your time carefully. Make a list of your weekly tasks.Then make a schedule or chart of your time.Fill in committed time such as eating,sleeping,meeting,classes,etc. Then decide on good ,regular times for studying.Be sure to set aside enough ti…

Tian Ji -- The Horse Racing Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others)Total Submission(s): 18291    Accepted Submission(s): 5327 Problem Description Here is a famous story in Chinese history. "That was about 2…

These days I study the RSA Algorithm. It is a little complex, but not very. Also, my study has not finished. There remains many other things to do. E.g. Program to realise RSA; Use Applications with RSA Study other encrypt algorithms ... Lattest News…

Machine Learning Algorithms Study Notes 高雪松 @雪松Cedro Microsoft MVP 本系列文章是Andrew Ng 在斯坦福的机器学习课程 CS 229 的学习笔记. Machine Learning Algorithms Study Notes 系列文章介绍 3 Learning Theory 3.1 Regularization and model selection 模型选择问题:对于一个学习问题,可以有多种模型选择.比如要拟合一组样本点,…

Machine Learning Algorithms Study Notes 高雪松 @雪松Cedro Microsoft MVP 本系列文章是Andrew Ng 在斯坦福的机器学习课程 CS 229 的学习笔记. Machine Learning Algorithms Study Notes 系列文章介绍 2    Supervised Learning    3 2.1    Perceptron Learning Algorithm (PLA)    3 2.1.1    PLA --…