登录
首页 » matlab » adaboost算法

adaboost算法

于 2018-09-26 发布 文件大小:4593KB
0 172
下载积分: 1 下载次数: 7

代码说明:

  adaboost算法,可以用于分类数据,图像(adaboost recnitionplease use it for you work)

文件列表:

adaboost, 0 , 2018-06-26
adaboost\.addOnMetadata, 0 , 2018-06-26
adaboost\.addOnMetadata\adaboost.mltbx, 2379941 , 2018-06-26
adaboost\code, 0 , 2018-06-26
adaboost\code\AdaBoost_demo_plot.m, 1364 , 2016-11-15
adaboost\code\AdaBoost_mult.m, 8207 , 2016-11-16
adaboost\code\AdaBoost_samme.m, 10402 , 2016-11-16
adaboost\code\classifier.csv, 1597 , 2018-06-26
adaboost\code\cross_validation.m, 474 , 2016-11-15
adaboost\code\CTG-1.xlsx, 414162 , 2016-11-15
adaboost\code\decision_stump.m, 3969 , 2016-11-15
adaboost\code\demos.xml, 1347 , 2016-11-17
adaboost\code\demo_adaboost_mult_with_decision_stumps.m, 5726 , 2016-11-16
adaboost\code\demo_adaboost_mult_with_decision_trees.m, 5760 , 2016-11-16
adaboost\code\demo_adaboost_sammy_with_decision_stump.m, 5713 , 2016-11-16
adaboost\code\demo_adaboost_sammy_with_decision_trees.m, 5766 , 2016-11-16
adaboost\code\html, 0 , 2018-06-26
adaboost\code\html\demo_adaboost_mult_with_decision_stumps.html, 27289 , 2016-11-16
adaboost\code\html\demo_adaboost_mult_with_decision_stumps.png, 2960 , 2016-11-16
adaboost\code\html\demo_adaboost_mult_with_decision_stumps_01.png, 21520 , 2016-11-16
adaboost\code\html\demo_adaboost_mult_with_decision_stumps_02.png, 15222 , 2016-11-16
adaboost\code\html\demo_adaboost_mult_with_decision_stumps_03.png, 103201 , 2016-11-16
adaboost\code\html\demo_adaboost_mult_with_decision_stumps_04.png, 129769 , 2016-11-16
adaboost\code\html\demo_adaboost_mult_with_decision_stumps_05.png, 88103 , 2016-11-16
adaboost\code\html\demo_adaboost_mult_with_decision_stumps_06.png, 120091 , 2016-11-16
adaboost\code\html\demo_adaboost_mult_with_decision_trees.html, 31349 , 2016-11-16
adaboost\code\html\demo_adaboost_mult_with_decision_trees.png, 2917 , 2016-11-16
adaboost\code\html\demo_adaboost_mult_with_decision_trees_01.png, 16689 , 2016-11-16
adaboost\code\html\demo_adaboost_mult_with_decision_trees_02.png, 19168 , 2016-11-16
adaboost\code\html\demo_adaboost_mult_with_decision_trees_03.png, 103045 , 2016-11-16
adaboost\code\html\demo_adaboost_mult_with_decision_trees_04.png, 129987 , 2016-11-16
adaboost\code\html\demo_adaboost_mult_with_decision_trees_05.png, 86993 , 2016-11-16
adaboost\code\html\demo_adaboost_mult_with_decision_trees_06.png, 115685 , 2016-11-16
adaboost\code\html\demo_adaboost_sammy_with_decision_stump.html, 27968 , 2016-11-16
adaboost\code\html\demo_adaboost_sammy_with_decision_stump.png, 3000 , 2016-11-16
adaboost\code\html\demo_adaboost_sammy_with_decision_stump_01.png, 26471 , 2016-11-16
adaboost\code\html\demo_adaboost_sammy_with_decision_stump_02.png, 13582 , 2016-11-16
adaboost\code\html\demo_adaboost_sammy_with_decision_stump_03.png, 101036 , 2016-11-16
adaboost\code\html\demo_adaboost_sammy_with_decision_stump_04.png, 133433 , 2016-11-16
adaboost\code\html\demo_adaboost_sammy_with_decision_stump_05.png, 80523 , 2016-11-16
adaboost\code\html\demo_adaboost_sammy_with_decision_stump_06.png, 124272 , 2016-11-16
adaboost\code\html\demo_adaboost_sammy_with_decision_trees.html, 25217 , 2016-11-16
adaboost\code\html\demo_adaboost_sammy_with_decision_trees.png, 2966 , 2016-11-16
adaboost\code\html\demo_adaboost_sammy_with_decision_trees_01.png, 27654 , 2016-11-16
adaboost\code\html\demo_adaboost_sammy_with_decision_trees_02.png, 14154 , 2016-11-16
adaboost\code\html\demo_adaboost_sammy_with_decision_trees_03.png, 98540 , 2016-11-16
adaboost\code\html\demo_adaboost_sammy_with_decision_trees_04.png, 134640 , 2016-11-16
adaboost\code\html\demo_adaboost_sammy_with_decision_trees_05.png, 91972 , 2016-11-16
adaboost\code\html\demo_adaboost_sammy_with_decision_trees_06.png, 117238 , 2016-11-16
adaboost\code\load_adaboost_model.m, 913 , 2016-11-16
adaboost\code\read_me.txt, 2319 , 2016-11-16
adaboost\code\save_adaboost_model.m, 793 , 2016-11-16
adaboost\code\train_stump_2.m, 3466 , 2016-11-16
adaboost\code\train_stump_N.m, 3305 , 2016-11-16
adaboost\code\two_level_decision_tree.m, 5319 , 2016-11-16

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • 聊天室DLL 聊天室D
    聊天室DLL 聊天室D-DLL chat rooms chat rooms D
    2022-07-23 19:13:09下载
    积分:1
  • 你需要下载的通用工具箱和信号工具箱。
    You need to download the general purpose toolbox and the signal toolbox. You need to unzip these toolboxes in your working directory, so that you have toolbox_general/ and toolbox_signal/ in your directory. -You need to download the general purpose toolbox and the signal toolbox. You need to unzip these toolboxes in your working directory, so that you have toolbox_general/ and toolbox_signal/ in your directory.
    2022-03-18 11:03:03下载
    积分:1
  • ay882
    DSmT证据推理的组合公式计算函数,小波包分析提取振动信号中的特征频率,多元数据分析的主分量分析投影。( Combination formula DSmT evidence reasoning calculation function, Wavelet packet analysis to extract vibration signal characteristic frequency, Principal component analysis of multivariate data analysis projection.)
    2017-04-24 22:27:44下载
    积分:1
  • Artificial-Bee-Colony
    人工蜂群算法解决优化问题,为求解函数和路径规划提供方法(The artificial swarm algorithm solves the optimization problem and provides a method for solving function and path planning)
    2017-05-15 17:47:16下载
    积分:1
  • SPLL20180304.slx
    搭建了基于微分环节的单相锁相环,测试有效!(A single-phase phase-locked loop based on derivative is built, the effectiveness of the contructed SPLL is proved.)
    2021-04-12 19:58:58下载
    积分:1
  • Rectifier
    说明:  整流器,dq坐标系,电压外环控制,pscad仿真(simulation of the rectifier in dq-frame)
    2021-03-24 11:25:13下载
    积分:1
  • projectplanner
    3DExperience Enovia project planner
    2019-01-29 08:50:13下载
    积分:1
  • MySQL+DBA修炼之道
    mysql的DBA的相关学习资料,包括性能优化、架构搭建、语法介绍等等(Mysql DBA related learning materials, including performance optimization, architecture building, syntax introduction, etc.)
    2020-06-24 12:40:02下载
    积分:1
  • ANSYS温度场分析
    ANSYS多圈管2D冻结温度场分析,根据对称性,选择第一象限进行模拟。 命令流中有详细说明! ZTIME=540           !冻结时间 Ld=10000            !如果某荷载步的温度等于Ld,则表示该荷载步不加载,直到下一荷载步 KBCVALUE=1          !KBCVALUE=0为坡道加载,KBCVALUE=1为阶跃加载 THETA=90            !所计算扇形区的圆心角,单位为度。一般取为第一圈孔的主面与界面的夹角(保证井内温度场基本不受影响)                     !该范围内每圈孔至少有3个管,否则可能在捕捉图时有点小问题, GA=THETA*1/1        !应确保GA的范围内每圈冻结管至少有2个.
    2022-03-21 10:55:04下载
    积分:1
  • 磁法演示
    走向无限延深有限的无限长薄板状体在matlab上实现Za,Ha,T的异常曲线。(The abnormal curves of Za, Ha and T are realized on MATLAB for an infinite thin plate with infinite extension and finite length.)
    2019-04-22 20:04:56下载
    积分:1
  • 696516资源总数
  • 106436会员总数
  • 7今日下载