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MDR

A Matlab code of Minimum deviation distribution machine for large scale regression. [Code]


Reference

Ming-Zeng Liu, Yuan-Hai Shao*, Zhen Wang, Wei-Jie Chen, Chun-Na Li. Minimum deviation distribution machine for large scale regression[J]. Submitted. [Slides]


Exam
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% exam clc clear all close all addpath('MDRCD') addpath('MDRASGD\matlab') %% kernel MDR load('X23.mat') [preY time]= mdr_cd(TestX, X, Y, [2^8 2^8 2^-8 0.05], 2^0); time %% primal MDR load('E2006A1Train.mat') load('E2006A1Test.mat') %% model = mdr_asgd_train(trainY, trainX, [lambda1, lambda2, C, epsilon], '-s 1 -k 0') %% preY = mdr_asgd_predict(testX, trainX, model) %% trainX: each row represents an instance tic model = mdr_asgd_train(trainY, trainX, [2^-4 2^-4 2^8 0.01], '-s 1 -k 0'); preY = mdr_asgd_predict(testX, trainX, model); toc
Contacts

Any question or advice please email to mzliu@dlut.edu.cn or shaoyuanhai21@163.com.