文件列表:

Code_Display (0, 2021-04-07)
Code_Display\DGOA_PlotDGOA3D.m (2338, 2021-04-07)
Code_Display\DGOA_PlotDuval.m (3803, 2021-04-07)
Code_Display\DGOA_PlotHist.m (2077, 2021-04-07)
Code_Display\DGOA_PlotHistPerClass.m (1817, 2021-04-07)
Code_Display\DGOA_PlotInterpolatedROC.m (1567, 2021-04-07)
Code_Display\DGOA_PlotRegression.m (1828, 2021-04-07)
Code_Duval (0, 2021-04-07)
Code_Duval\Duval.m (2739, 2021-04-07)
Code_Duval\Duval_EvaluateML.m (8283, 2021-04-07)
Code_Duval\Duval_EvaluateML_bis.m (3456, 2021-04-07)
Code_Duval\Duval_GenerateData.m (1312, 2021-04-07)
Code_Duval\Duval_ImportData.m (1560, 2021-04-07)
Code_Duval\Duval_PlotResults.m (5110, 2021-04-07)
Code_Duval\Duval_PrepareData.m (5311, 2021-04-07)
Code_Duval\Duval_SaveTxt.m (1511, 2021-04-07)
Code_Duval\Duval_bis.m (1978, 2021-04-07)
Code_Duval\testDuval.mat (5869, 2021-04-07)
Code_ML (0, 2021-04-07)
Code_ML\C4_5.m (6553, 2021-04-07)
Code_ML\DGOA_DaysSinceDGOA.m (2487, 2021-04-07)
Code_ML\DGOA_ExtractClass.m (2117, 2021-04-07)
Code_ML\DGOA_ExtractCommonVariables.m (3866, 2021-04-07)
Code_ML\DGOA_Inputs_LogNormalize.m (1924, 2021-04-07)
Code_ML\DGOA_Inputs_Standardize.m (2086, 2021-04-07)
Code_ML\DGOA_InverseCDF.m (1645, 2021-04-07)
Code_ML\DGOA_LinearRegression.m (4394, 2021-04-07)
Code_ML\DGOA_Match.m (2351, 2021-04-07)
Code_ML\DGOA_Predict_NearestNeighbors.m (4862, 2021-04-07)
Code_ML\DGOA_Raw_SelectText.m (1863, 2021-04-07)
Code_ML\DGOA_SelectTriple.m (1654, 2021-04-07)
Code_ML\DGOA_SemiSupervisedRegression.m (6245, 2021-04-07)
Code_ML\IE_CompareClasses.m (1815, 2021-04-07)
Code_ML\IE_ROC.m (3827, 2021-04-07)
Code_ML\KNN_TrainTest.m (7128, 2021-04-07)
Code_ML\LDS_TrainTest.m (5267, 2021-04-07)
Code_ML\LLR_Predict.m (2440, 2021-04-07)
Code_ML\LLR_TrainTest.m (5107, 2021-04-07)
Code_ML\LLSSR_Predict.m (3913, 2021-04-07)
... ...

# Statistical Machine Learning and Dissolved Gas Analysis Companion code for the paper: "Statistical Machine Learning and Dissolved Gas Analysis: A Review" P Mirowski, Y LeCun Power Delivery, IEEE Transactions on, 2012 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6301810 http://engineering.nyu.edu/power/sites/engineering.nyu.edu.power/files/uploads/DGOA%20predictive.pdf An appendix to the paper submission "Statistical Machine Learning and Dissolved Gas Analysis: A Review" that describes the machine learning algorithms with further details, is available at: https://piotrmirowski.files.wordpress.com/2020/01/mlreview4dgoa_appendix.pdf ## Requirements: The following libraries need to be installed (and the Matlab paths configured accordingly): LibSVM with Matlab interface, available at: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Low-Density Separation, available at: http://olivier.chapelle.cc/lds/ The Matlab Statistics Toolbox A copy of the `bolasso` library is available in this repository. It was taken from repository: [github.com/probml/pmtk1](https://github.com/probml/pmtk1/tree/master/pmtk/optim/Lasso) by Matthew Dunham and it is an implementation of Francis R. Bach's Bolasso algorithm described in his [ICML 2008 paper](http://www.di.ens.fr/~fbach/icml_bolasso.pdf). ## Installation: After download, unzip and configure the required paths. ## Tutorial: In directory Code_Duval, execute under Matlab the following file: Duval.m ## License: Please refer to the GNU General Public License, available at: http://www.gnu.org/ ## References for the data: M. Duval and A. dePablo, "Interpretation of gas-in-oil analysis using new IEC publication 60599 and IEC TC 10 databases", IEEE Electrical Insulation Magazine, vol. 17, pp. 3141, 2001.

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：