官方权威最小二乘支持向量机(LS-SVM)工具箱及使用说明v1.8

sl4a+python API中文参考及 sl4a+python API官方英文(离线html版本)免积分下载

大家好，我是Mac Jiang,今天和搭建分享的是台湾大学机器学习基石（Machine Learning Foundations）的个人笔记。个人觉得这门课是一门非常好的机器学习入门课程，值得初学者学习！这份笔记是本人一笔一划手写，扫描后上传了，也算是一个月的心血，希望我的工作能够给大家带来一些学习上的帮助。Week 1: The leaming ProblemDateP1. What is Machine Learning?m:画过观架( observation)款悍技能〔)cb→圆>skdem0过数(d枝能(s)t→DML→5m Prove:增进某种表现 Performance measurePer fornoMeasureML: an alternative rute to butt aomplacoded systems- When human connot prinn the system manually (navigating on Mars)-When human nnot define the solution esaily(speech/vgual recgnition)-When needing raBid deasions that huniang cannot do (high freguency trading?When neeling to be user-orrented in a massive sale(Consumer-targetd mopketig)dataim proved①有在其些日术Pattern RcRRMLerformance机购在完不知邮们度珠meusure的隐藏规剧料灿2.Appliaation of Machine learniO food: data Twitter data Wordsspill tell food Poisoning Cike lines of resturant properlye clothig. data: scale fiqures +client surveysskill: give good fashion recommendation to Clients3 Hosing, data, characteristic of buidings and their energy loadkill:predict energy lad of other buiding closely9 Trans potation: data: Some traffic sign images and meaningsShill= recognize troffic Sions acuratelyO Education: data. Studerts, records onizes ona math tutoring systemskilL: Predict whether a stdert can give a Comet answer to anther question⑥ ntertainment:da: ho w many users have hated some movies象社解料系子荐你统stiu Predict how a user Would rate an uNatPagc3. Com Ponent of Machine lemn输入:x∈x出:y∈Y睛数(9Mrtm)tf:y→丫〔想下的)抛规律台道数据如 raining examples:D=,,()…(xmhyes分sk:9x→y〔学到的程制的孤)辆一M→9Algur+nH( hy Pothesis Set)色色妇的成坏的Pt8,9∈H,从种中最的即9Leaming model= A and He hypothesis set4.Machine learning and other FiMachine (earring, B do值到约练于B数于的设3CMLatMn鸡:eg如 to find property that15e西不哦啥CDM)若立越西的为9R西事无大大区刷若栖与9关,PM可帮助MLArdt9g让电座有很瞰明的表视(下开)CA工)机学展现A工铝能的方法statistics(计利用瓷料爆到推龙,从数学角出发纯计晨钯机罟孑的方法第2讲: Learn to Answera人阳0 n Hypothesis set(假设集)Xxx)「y=(,许答 Wii threshold飞岁=+,讲卷Wx∠thr

比例导引三维仿真轨迹 ，matlab程序 ，仿真效果不错，对弹道仿真很有帮助

基于ansoft maxwell的感应电机电磁场动态仿真模型

可以实现SURF特征点的提取和匹配运算，经过测试可以运行。供给大家分享学习。

matlab下的二维相位解包裹算法

详细介绍了GPS卫星导航系统的原理与应用,同时简要介绍了双星定位和GALILEO系统.

1.首先单击载入图像菜单项（载入背景和前景图像）,图像在image文件夹下面。2.然后单击车辆提取菜单项，依次进行图像做差、二值化、开运算、图像去噪、图像填充处理。3.再单击轮廓提取菜单项，提取车辆轮廓。4.最后单击车型识别菜单项，对车辆进行识别。

自己做的课程设计，打包上传，温度pid调节，带完美proteus仿真

进行高光谱图像处理时的降维程序，修改文件中的读入参数名称即可使用。