Results and Evaluation Resource and tools The model training and evaluation is implemented using python with tensorflow framework 1.0 on ubuntu linux system. I use…
Microsoft Word – 周五.docx Your task is to implement a simple chatbot in Scheme. A chatbot is a program that can chat with a human.…
1 Table of Contents clear …………………………………………………………………………………………………………………. 1 Problem 1: …………………………………………………………………………………………………………. 1 Problem 2: …………………………………………………………………………………………………………. 2 Problem 3: …………………………………………………………………………………………………………. 2 clear clear all; clc; Problem 1:…
Dropout Dropout¶ Dropout [1] is a technique for regularizing neural networks by randomly setting some features to zero during the forward pass. In this exercise…
Ten Usability Heuristics by Jakob Nielsen http://www.useit.com/papers/heuristic/heuristic_list.html 1. Visibility of system status The system should always keep users informed about what is going on, through…
ECON 61001: Review of OLS in simple linear regression Alastair R. Hall The University of Manchester Alastair R. Hall ECON61001: OLS Review 1 / 12…
这个程序比之前的两个程序要复杂。 首先有一张OD（Origin-Destination）表，这张表里面统计了137个站点中，每个时段（从6:00到24:00）每个站点间的出行人数（带有方向性）。 现在以西朗站、早上6:00~6:15为例来说明这个步骤流程。首先读取OD数据，比如说读取了第7行，西朗到长寿路，6:00~6:15的客流量9，将每个站每个时段的人数除以15，变成1分钟粒度，全部保留小数，即9/15=0.6。接着读取行人走行时间表，得到行人从刷卡处到站台的走行时间（西朗站的）为120s,从而得到行人达站台的时刻为：6*3600+120 =21720，并开始记录本时刻为6:00。 接着读取有效路径集那张表，读取其中的第F列（乘车时间），第H列（换乘站点编号）第I列（换乘次数），第k列（角度费用），第J列（换乘时间）以及第N列（有效路径集合）。根据公式： V=θ1Ttravel +θ2Ntrans +θ3Ttrans +θ4Cangle 其中公式中的θ对应于下表中的系数。 属性 平峰 高峰 系数 系数 乘车时间(h) -5.3029 -7.7727 换乘次数 -0.6234 -0.5299 换乘时间(h) -9.6731 -12.8199 角度费用(m)…
Introduction to information system Introduction to Data Science Bowei Chen School of Computer Science University of Lincoln CMP3036M/CMP9063M Data Science Hello, I’m a Data Scientist!…
MODULE & LECTURER: Distributed and Cloud Computing; Dr. Padraig Corcoran TITLE: Design of a Distributed System The penalty for late or non-submission is an award…
9 Hypothesis testing (Part 2) Single sample procedures 9.1 Introduction In this chapter we will discuss specific applications of hypothesis testing where we have a…