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文件名称:MLcode

  • 所属分类：
    AI-NN-PR
  • 标签属性：
    [Windows] [Linux] [Python] [源码]
  • 上传时间：
    2012-11-16
  • 文件大小：
    95.06kb
  • 已下载：
    1次
  • 提 供 者：
    jings******
  • 相关连接：
    无
  • 下载说明：
    别用迅雷下载，失败请重下，重下不扣分！
修正介绍说明

介绍说明－－下载内容来自于网络，使用问题请自行百度

这是关于机器学习的经典例程，只有你想不到的，没有你做不到的。即可用来学习，也可参考来写论文。包含几乎所有机器学习的相关内容。-This is the classic routines on machine learning, and only you can not think, no you can not do. Can be used to learn, but also can refer to write papers. Almost all machine learning contains relevant content.
相关搜索： MLcode.zip isomap python

(系统自动生成,下载前可以参看下载内容)

下载文件列表

MLcode/Machine Learning/src/10 Dimension Reduction/ecoli.py
MLcode/Machine Learning/src/10 Dimension Reduction/factoranalysis.py
MLcode/Machine Learning/src/10 Dimension Reduction/floyd.py
MLcode/Machine Learning/src/10 Dimension Reduction/iris.py
MLcode/Machine Learning/src/10 Dimension Reduction/isomap.py
MLcode/Machine Learning/src/10 Dimension Reduction/kernelpca.py
MLcode/Machine Learning/src/10 Dimension Reduction/kpcademo.py
MLcode/Machine Learning/src/10 Dimension Reduction/lda.py
MLcode/Machine Learning/src/10 Dimension Reduction/lle.py
MLcode/Machine Learning/src/10 Dimension Reduction/pca.py
MLcode/Machine Learning/src/10 Dimension Reduction/pcademo.py
MLcode/Machine Learning/src/10 Dimension Reduction
MLcode/Machine Learning/src/11 Optimisation/CG.py
MLcode/Machine Learning/src/11 Optimisation/LevenbergMarquardt.py
MLcode/Machine Learning/src/11 Optimisation/LevenbergMarquardt_leastsq.py
MLcode/Machine Learning/src/11 Optimisation/Newton.py
MLcode/Machine Learning/src/11 Optimisation/steepest.py
MLcode/Machine Learning/src/11 Optimisation/TSP.py
MLcode/Machine Learning/src/11 Optimisation
MLcode/Machine Learning/src/12 Evolutionary/exhaustiveKnapsack.py
MLcode/Machine Learning/src/12 Evolutionary/fourpeaks.py
MLcode/Machine Learning/src/12 Evolutionary/ga.py
MLcode/Machine Learning/src/12 Evolutionary/greedyKnapsack.py
MLcode/Machine Learning/src/12 Evolutionary/knapsack.py
MLcode/Machine Learning/src/12 Evolutionary/PBIL.py
MLcode/Machine Learning/src/12 Evolutionary/run_ga.py
MLcode/Machine Learning/src/12 Evolutionary
MLcode/Machine Learning/src/13 Reinforcement/SARSA.py
MLcode/Machine Learning/src/13 Reinforcement/SARSA_cliff.py
MLcode/Machine Learning/src/13 Reinforcement/TDZero.py
MLcode/Machine Learning/src/13 Reinforcement/TDZero_cliff.py
MLcode/Machine Learning/src/13 Reinforcement
MLcode/Machine Learning/src/14 MCMC/BoxMuller.py
MLcode/Machine Learning/src/14 MCMC/Gibbs.py
MLcode/Machine Learning/src/14 MCMC/importancesampling.py
MLcode/Machine Learning/src/14 MCMC/lcg.py
MLcode/Machine Learning/src/14 MCMC/MH.py
MLcode/Machine Learning/src/14 MCMC/rejectionsampling.py
MLcode/Machine Learning/src/14 MCMC/SIR.py
MLcode/Machine Learning/src/14 MCMC
MLcode/Machine Learning/src/15 Graphical Models/Gibbs.py
MLcode/Machine Learning/src/15 Graphical Models/graphdemo.py
MLcode/Machine Learning/src/15 Graphical Models/HMM.py
MLcode/Machine Learning/src/15 Graphical Models/Kalman.py
MLcode/Machine Learning/src/15 Graphical Models/MRF.py
MLcode/Machine Learning/src/15 Graphical Models/world.png
MLcode/Machine Learning/src/15 Graphical Models
MLcode/Machine Learning/src/2 Linear/auto-mpg.py
MLcode/Machine Learning/src/2 Linear/linreg.py
MLcode/Machine Learning/src/2 Linear/linreg_logic_eg.py
MLcode/Machine Learning/src/2 Linear/logic.py
MLcode/Machine Learning/src/2 Linear/pcn.py
MLcode/Machine Learning/src/2 Linear/pcn_logic_eg.py
MLcode/Machine Learning/src/2 Linear/pima.py
MLcode/Machine Learning/src/2 Linear
MLcode/Machine Learning/src/3 MLP/iris.py
MLcode/Machine Learning/src/3 MLP/iris_proc.data
MLcode/Machine Learning/src/3 MLP/logic.py
MLcode/Machine Learning/src/3 MLP/mlp.py
MLcode/Machine Learning/src/3 MLP/PNoz.dat
MLcode/Machine Learning/src/3 MLP/PNOz.py
MLcode/Machine Learning/src/3 MLP/sinewave.py
MLcode/Machine Learning/src/3 MLP
MLcode/Machine Learning/src/4 RBF/iris.py
MLcode/Machine Learning/src/4 RBF/least_squares.py
MLcode/Machine Learning/src/4 RBF/rbf.py
MLcode/Machine Learning/src/4 RBF
MLcode/Machine Learning/src/6 Trees/dtree.py
MLcode/Machine Learning/src/6 Trees/party.data
MLcode/Machine Learning/src/6 Trees/party.py
MLcode/Machine Learning/src/6 Trees
MLcode/Machine Learning/src/7 Committee/bagging.py
MLcode/Machine Learning/src/7 Committee/boost.py
MLcode/Machine Learning/src/7 Committee/car.data
MLcode/Machine Learning/src/7 Committee/car.py
MLcode/Machine Learning/src/7 Committee/dtw.py
MLcode/Machine Learning/src/7 Committee/party.py
MLcode/Machine Learning/src/7 Committee
MLcode/Machine Learning/src/8 Probability/gaussian.py
MLcode/Machine Learning/src/8 Probability/GMM.py
MLcode/Machine Learning/src/8 Probability/kdtree.py
MLcode/Machine Learning/src/8 Probability/knn.py
MLcode/Machine Learning/src/8 Probability/knnSmoother.py
MLcode/Machine Learning/src/8 Probability/plotGaussian.py
MLcode/Machine Learning/src/8 Probability/ruapehu.dat
MLcode/Machine Learning/src/8 Probability
MLcode/Machine Learning/src/9 Unsupervised/iris.py
MLcode/Machine Learning/src/9 Unsupervised/kmeans.py
MLcode/Machine Learning/src/9 Unsupervised/kmeansnet.py
MLcode/Machine Learning/src/9 Unsupervised/moredemos.py
MLcode/Machine Learning/src/9 Unsupervised/shortecoli.data
MLcode/Machine Learning/src/9 Unsupervised/som.py
MLcode/Machine Learning/src/9 Unsupervised/somdemo.py
MLcode/Machine Learning/src/9 Unsupervised
MLcode/Machine Learning/src
MLcode/Machine Learning
MLcode

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