image thumbnail

updated 7 days ago

Using Weka in Matlab by Sunghoon Lee

An efficient interface to use Weka in MATLAB (analysis, probability, machine learning)

classifier_example()

clustering_example()

costSensitiveClassifier_example()

image thumbnail

updated 5 hours ago

Pattern Recognition Toolbox by Peter

Peter (view profile)

Free pattern recognition toolbox for MATLAB (machine learning, pattern recognition, svm)

image thumbnail

updated 13 days ago

Full-rank Partial Least squares and Partial Least squares regression by Filippo Amato

Multivariate data analysis - modeling (statistics, modeling, matrix)

image thumbnail

updated 22 days ago

simple forecast with AR model by raffaele

raffaele (view profile)

forecast with iterative or direct methods, a general AR(p) model, choosing the best p with AIC algo (econometrics, statistics, regression)

fcast.m

image thumbnail

updated 1 month ago

Multivariate Polynomial Regression by Ahmet Cecen

Performs polynomial regression on multidimensional data. (polynomial regression, statistics, multivariable regress...)

image thumbnail

updated 1 month ago

Example code and generic function to perform LASSO on GLM by Dr. Soumya Banerjee

Generic function to perform LASSO on generalized linear model (GLM). (mathematics, optimization, regression)

call_custom_lasso_glm()

custom_lasso_glm(X,y,str_distribution,num_fold_cross_vali...

image thumbnail

updated 1 month ago

DOC-Toolbox by Robert Walecki

DOC-Toolbox (classification, regression, crf)

image thumbnail

updated 1 month ago

Gridsearch for LibSVM library by Pavel Paunov

Gridsearch for the LibSVM support vector machine library. (svm, machine learning, gridsearch)

Gridsearch

MatrixToVector

VectorToMatrix

image thumbnail

updated 2 months ago

Simple linear regression between EUR/USD exchange rate and 10Y USD Treasury Rate by Mario Santos

Simple linear regression between EUR/USD exchange rate and 10Y USD Treasury Rate (regression)

Regression.m

image thumbnail

updated 2 months ago

Outlier-robust extreme learning machine for regression problems by Kai Zhang

An extension of extreme learning machine (ELM). (noise, signal processing, mathematics)

ALM_Solve_ORELM(A, b, C, maxIter)

elm_predict(TP,TT,InputWeight, BiasofHiddenNeurons, Outpu...

elm_train_main(InputWeight,BiasofHiddenNeurons,P,T, C,met...

image thumbnail

updated 3 months ago

Kernel Adaptive Filtering Toolbox by Steven Van Vaerenbergh

A Matlab benchmarking toolbox for kernel adaptive filtering (kernel methods, nonlinear filtering, adaptive filtering)

image thumbnail

updated 3 months ago

polyfitn by John D'Errico

John D'Errico (view profile)

Polynomial modeling in 1 or n dimensions (polyfit, modeling, regression)

polyfitn_demo

polydern(p,diffvar)

polyfitn(indepvar,depvar,modelterms)

image thumbnail

updated 3 months ago

Batched partitioned nonlinear least squares by John D'Errico

John D'Errico (view profile)

Speed up when you have a very large number of nonlinear least squares problems, but with one model (optimization, regression, nonlinear)

Demo file for batchpleas.m

batchpleas(Xdata,Ydata,batchindex,funlist,INLPstart,batch...

image thumbnail

updated 5 months ago

quantreg(x,y,tau,order,Nboot) by Aslak Grinsted

Aslak Grinsted (view profile)

Quantile regression with bootstrapping confidence intervals (statistics, quantile, median)

quantreg(x,y,tau,order,Nboot)

image thumbnail

updated 5 months ago

dcorr( X, Y ) by Paolo Inglese

Distance correlation (correlation, distance, classification)

dcorr( X, Y )

image thumbnail

updated 5 months ago

allregress(y,X,criteria) by Shen Liu

Shen Liu (view profile)

All possible regressions of y on X, selecting the best model by a means of selection criteria (regression, model selection)

allregress(y,X,criteria)

image thumbnail

updated 5 months ago

Batch Coverage Reporting by Dirk Jungquist

Report top level coverage on mutiple models though a single script. (coverage, batch, regression)

BlockNames()

RunCoverageReport.m

image thumbnail

updated 5 months ago

Function to perform Bayesian LASSO by Dr. Soumya Banerjee

Function to perform Bayesian LASSO (least absolute shrinkage and selection operator) (signal processing, mathematics, statistics)

bayesian_lasso_generic(X,Y)

call_bayesian_lasso()

image thumbnail

updated 6 months ago

Theil-Sen Robust Linear Regression by Zachary Danziger

Perform linear regression that is robust to outliers. (signal processing, regression, outlier)

TheilSen.m

image thumbnail

updated 7 months ago

Simple MATLAB example code and generic function to perform LASSO by Dr. Soumya Banerjee

Simple MATLAB example code and generic function to perform LASSO (optimization, statistics, regression)

call_lasso

lasso_generic(X,Y,iFold_cross_validation)

image thumbnail

updated 8 months ago

General Regression Model by Shoaibur Rahman

Generalized form of single and multivariate regression model (linear and non-linear) (regression, general regression, general linear model)

GenRegModel(x,y,deg,show)

image thumbnail

updated 8 months ago

Machine Learning for Mining & Metals by David Willingham

2 examples for Machine Learning for Mining, Regression & Classification (machine learning, metals, mining)

plotFitErrors.m

plotFitErrors.m

Rsquared(Y, YHat )

image thumbnail

updated 8 months ago

Bayesian Linear Regression by Dr. Soumya Banerjee

This is a set of MATLAB functions to do Bayesian linear regression (statistics, optimization, mathematics)

bayesian_regression

CALL_bayesian_regression

image thumbnail

updated 8 months ago

TSLS (variable input) by raffaele

raffaele (view profile)

this function allows multiple input arguments for a TSLS regression (statistics, econometrics, regression)

tsls(y,x,varargin)

image thumbnail

updated 9 months ago

libPLS_1.95.zip by Hongdong Li

libPLS: An Integrated Library of Partial Least Squares Regression and Discriminant Analysis (signal processing, statistics, modeling)

irf.m

plsnipals.m

axisrange(x)

image thumbnail

updated 9 months ago

Mixtures of Experts, Using Gaussian Mixture Models for the Gate by Joseph Santarcangelo

This code implements the mixture of expert’s using a Gaussian mixture model for the gate. (mixture of experts, gaussian, expectation maximizat...)

OutputMixtureofExpertsParametric(Prior, Mu, Sigma,West,X,...

TwoExpertToyData( )

[Prior, Mu, Sigma,West,Var,Lickyhood] =TrainMixtureofExpe...

image thumbnail

updated 9 months ago

Collinearity diagnostics (variance decomposition proportions, condition index, VIF, tableplot) by Brian Lau

Matlab code for diagnosing collinearity in a regression design matrix (regression, linear)

image thumbnail

updated 9 months ago

Regression with Gradient Descent by Shujaat Khan

Shujaat Khan (view profile)

Regression with Gradient Descent; A coefficient finding technique for the desired system model (regression, descent gradient, machine learning)

Arbitary.m

Exp_Pred.m

Linear_Pred.m

image thumbnail

updated 9 months ago

Radial Basis Function with K Mean Clustering by Shujaat Khan

Shujaat Khan (view profile)

Radial Basis Function with K Mean Clustering using Pseudo inverse method (kmean, clustering, rbf)

Class_IDs(NC,NS)

K_Means(X,M,D)

Kernel(X,C)

image thumbnail

updated 10 months ago

normalMLE.m by Tyler Ransom

Estimates heteroskedastic normal linear regression model via MLE (optimization, regression, analysis)

[like,grad]=normalMLE(b,restrMat,Y,X,W,d)

image thumbnail

updated 10 months ago

Linear Deming Regression by James Hall

deming perfoms a linear Deming regression. Useful when errors are present in both x and y variables. (linear regression, regression, orthogonal regression)

deming(x,y,lambda,alpha)

image thumbnail

updated 10 months ago

Support Vector Regression by Ronnie Clark

A MATLAB implementation of Support Vector Regression (SVR). (regression, nonlinear, machine learning)

svr_trainer(xdata,ydata, c, epsilon, kernel, varargin)

image thumbnail

updated 11 months ago

Regress_Bivariate by Kaustubh Thirumalai

Weighted Linear Regression w (Correlated or Uncorrelated) Errors in Bivariate Data (regression, maximum likelihood es..., bivariate error)

Regress_Bivariate

errorbar_x(x, y, l,u,symbol)

image thumbnail

updated 1 year ago

LTreg.m by Lars

Lars (view profile)

Find the p value and coefficients for linear regression (regression, probability, statistics)

[A,B,SE,tstat,p]=LTreg(x,y)

image thumbnail

updated 1 year ago

media_dvst_inc.m by Darko

Darko (view profile)

Statistic Analysis (statistics, linear, regression)

media_dvst_inc.m

image thumbnail

updated 1 year ago

Bayesian Partial Least Squares by Diego Vidaurre

Bayesian Partial Least Squares implementation, using variational inference (partial least squares, regression, regularization)

dg=digamma(x,h)

gamma_kl (shape_q,shape_p,rate_q,rate_p)

gauss_kl (mu_q,mu_p,sigma_q,sigma_p)

image thumbnail

updated 1 year ago

Active geometric shape models by Quan Wang

Quan Wang (view profile)

The active geometric shape model is a novel approach for fitting geometric shapes in images. (image processing, mathematics, optimization)

AGSM Canvas

DD=myspline(D,theta)

GI=gaussianBlur(I,s)

image thumbnail

updated 1 year ago

rfitslm by Felipe G. Nievinski

Robust fit of simple linear regression model (ignoring NaNs). (slope, regression, robust)

Theil_Sen_Regress(x,y)

nanrfitslm (x, y)

nanrslope (x, y)

image thumbnail

updated 1 year ago

Regression through least square(normal equations) by Koteswar Rao Jerripothula

Basic least square algorithm (Normal equations) for regression (least square, machine learning, regression)

least_square(x,y)

image thumbnail

updated 1 year ago

Regression Utilities by Joe Henning

A variety of regression utilities (regression, statistics, least squares)

cookdist(x, y, sigy, c, basis, plotflag)

irsvdregr(x, y, c, k)

ladratregr(x, y, sigy, p, q, monflag)

image thumbnail

updated 1 year ago

REGRESSION ANALYSIS. by Gentian Zavalani

Applications of regression analysis (statistics, analysis, regression)

cpodaf(unnamed1)

createFit(LP,LS)

Model.m

image thumbnail

updated 1 year ago

Calculating the acceleration due to gravity using linear regression method by Bassem Akl

Using polynomial linear regression model to represent the data and determine the acceleration (regression, pendulum, acceleration due to g...)

SimplePendulum_LinearRegression.m

image thumbnail

updated 1 year ago

Introduction to MATLAB for Machine Learning by Kristen

Kristen (view profile)

Includes a guide to getting started with MATLAB and builds to applying machine learning techniques. (machine learning, statistics, tutorial)

image thumbnail

updated almost 2 years ago

press by Antonio Trujillo-Ortiz

Prediction error sum of squares. (statistics, probability, residual scaling)

press(D)

image thumbnail

updated almost 2 years ago

Plane Fitting and Normal Calculation by Dan Couture

Given a set of x,y,z coordinates, find the best planar fit. (plot, regression, fit)

fitNormal(data, show_graph)

t_fitNormal()

image thumbnail

updated almost 2 years ago

Boosted Binary Regression Trees by Kota Hara

Boosted Binary Regression Trees is a powerful regression method which can handle vector targets. (statistics, data mining, regression)

brtTest( input, brtModel, varargin )

brtTrain( X, T, leafNum, treeNum, nu )

regressionTreeTest( input, Tree )

image thumbnail

updated 2 years ago

Restricted Cubic Spline by Leonidas Bantis

Fits the so called restricted cubic spline via least squares and obtains 95% bootstrap based CIs. (spline, restricted cubic spli..., least squares)

[bhat f sse knots CI]=rcspline(x,y,knots,bootsams,atwhich...

[bhat ff sse X]=rcs(x,y,knots,plots)

example.m

image thumbnail

updated 2 years ago

Nadaraya-Watson smoothing by Jan Motl

Jan Motl (view profile)

A non-parametrical regression (smoothing) tool using Gaussian kernel. (regression, smoothing, smooth)

[smoothed score h]=smoothing(ydata,varargin)

image thumbnail

updated 2 years ago

x2fx_names - compound predictor names for x2fx by Dmitry Kaplan

returns NAMES of columns for the output of x2fx() (x2fx, statistics, predictors)

res=x2fx_names(PredictorNames,model)

image thumbnail

updated 2 years ago

linfitregsel - term selection in linear regression by Bill Whiten

Select terms in linear regression (equation fitting) using eigenvectors and term significance (regression, term selection, regularised regressio...)

[x,cov,info]=linfitregsel(A,b,optn)

opts=optndfts(args,varargin)

linfitregseldemo.m

Contact us