Potty Training Regression

The model relies on the theory of strength of least square curve fitting and auto regression techniques. Platforms: Matlab

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The non-linear regression problem (univariate or multivariate) is easily posed using a graphical user interface (GUI) that solves the problem using one of the following solvers: - nlinfit: only univariate problems. - lsqnonlin: can deal with multivariate problems (more than one dependent fitting... Platforms: Matlab

It is training for students Constant input signal to sinusoidal relaxation oscillator VI1 with simulink.Student can get in variation constant input signal and set curve input /output frequency.Students can change rational coefficients to have a large linearity near a point. Platforms: Matlab

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mex c++ interface to call Eureqa server directly from matlabThe code enables symbolic regression with possible user-defined operators (such as +, -, *, /, ^, exp, log, sin, cos, abs, tan). Applications range from a detection of hidden data relationships to nonlinear regression of different kinds... Platforms: Matlab

This code implements the 1D polynomial regression method. It uses the least square method for the finding of regression polynomial coefficents. Outputs of the script are polynomial regression coefficients, residuals, the sum of squared errors, the determination index and the graphical comparison... Platforms: Matlab

Gaussian kernel regression and local linear Gaussian kernel regression with variable window widthThis is the same as ksr and ksrlin (file File ID: #19195 and #19564), but instead of using the same bandwidth for each point, it uses a variable bandwidth given by the distance of each point to its... Platforms: Matlab

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Kernel regression is a power full tool for smoothing, image and signal processing, etc. However, it is computationally expensive when it is extented for multivariant cases. The efficiency can be improved by only using neighbors within the effective range arond a regression point. To improve the... Platforms: Matlab

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This function will perform a local regression at the given points. Using the data at hand. You will need to input a spanwidth which will tell the function how many datapoints he will use in the local regression at each evaluation.Example... Platforms: Matlab

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Download Hr training software is finest quality program to track company employee business tour needs for different level organizations including mid, small and large. Freeware employee education management application is best utility to organize complicated and time consuming task in simplest... Platforms: Windows

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The Gaussian Kernel can be changed to any desired kernel. However such a change will not dramatically improve results. This is a variant of ridge regression using the kernel trick (Mercers Theorem). Platforms: Matlab

The purpose of this file is to provide beginners a way to understand and analyse time varying coefficient values within regression analysis particularly with financial data analysis.The file is easily customisable to suit requirements and contains information describing the code for ease.I am new... Platforms: Matlab

Leave-one-out cross-validation for PLS regression or discriminant analysispls_cv = plscv(x,y,vl,'da')input:x (samples x descriptors) for cross-validationy (samples x variables) for regression or (samples x classes) for discriminant analysis. Classes numbers must be >0.vl (1 x 1) number of latent... Platforms: Matlab

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It is training for students a PWM input signal to sinusoidal oscillator VI1 with simulink new library block.Student can change the frequency,the nivel and the ration for PWM, pulse width modulation input and set curve input/output frequency. Platforms: Matlab