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Nainsi Gupta


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Question


How to use gamultiobj for binary decision variables for features selection?
I want to use nsga2 for feature selection, where 1 represent feature is selcted while 0 represent that feature is not selected. ...

4 maanden ago | 1 answer | 0

1

answer

Question


One class classification using fitcsvm
Classifier<- svm(PhaseI_Data,type='one-classification',kernel = "radial", nu= nu,gamma= gamma, scale = F) A...

5 maanden ago | 1 answer | 0

1

answer

Question


LASSO for variable selection
Dear MATLAB Learners, I am working on variable selection for process monitoring. I have only number of process response variab...

meer dan een jaar ago | 1 answer | 0

1

answer

Question


Need help with the coding of Attached research Paper
Can someone help me with the simulation of attached research paper? This uses lasso for variable selection and then establish a...

meer dan een jaar ago | 0 answers | 0

0

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Question


Different number of support vectors & decision values in R (using svm from "e1071") and matlab (fitcsvm) for one class classification
I am trying to run svm both on R and matlab. R code: data= df[, 1:2] head(data) sum(is.na(data)) data_bislery= as.numeric...

meer dan een jaar ago | 1 answer | 0

1

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Which output represent distance from hyperplane in fitcsvm while training data?
While training data on fitcsvm, which output represent distance from the hyoerplane. Please explain. x= rand([100,2]) y= ones...

meer dan een jaar ago | 1 answer | 0

1

answer

Question


How to detect the probability of a shift in mean value when number of variables increases?
Probability of a shift in mean value of a multivariate normal vector decreases as the number of variables increaes in case of Ho...

meer dan 2 jaar ago | 2 answers | 0

2

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Question


Andrews plot function for multivariate control chart limits UCL and LCL
I am working on Andrews plot for quality control chart. So I need to define UCL and LCL for that. I have attached the images of ...

meer dan 2 jaar ago | 2 answers | 0

2

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Question


How to generate bivariate random normally distributed 3d array?
mu= [0 0] sigma= [1 0.25; .25 1] mvnrnd(mu,sigma,100) I want to generate a 3-by-2-by-100 array which is normally distribute...

meer dan 2 jaar ago | 1 answer | 0

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