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I am using an SVM (SVM_train, Bioinformatics toolbox) to classify data and would like to make my final trained SVM models availa...
Asked 3 years ago
Basically I am looking for a fast method to implement nested cross-validation, where feature and model selection are done within...
3 years ago
Thank you. Unfortunately I don't have the optimization toolbox, only: statistics, signal processing and bioinformatics. In the ...
Hi all, I am trying to do a fast feature election and hyperparameter selection for an SVM. I have tried a grid search approach ...
3 years ago
See Matlab help for SVMtrain and SVMclassify functions for examples
Answered 3 years ago
Surely if you have used cross-validation to obtain a classification accuracy measure then you have already solved your problem?...
Answered 4 years ago
Suggest read research by Hassanpour et al "Time-frequency feature extraction of newborn EEG seizure using SVD-based techniques" ...
It depends on whether you are using cross validation within sequentialfs - if you are, sequentialfs will divide by the number of...
This is usually a problem with RAM rather than hardrive space.
Suggest reading your file in chunks using fread within a for/w...
Why does classification accuracy obtained using sequentialfs and cross-validation always outperform a 10-fold cross-validation u...
Asked 4 years ago
Generates bland Altman plot
7 years ago
I am trying to return results from an fminsearch optimization. I am using fminsearch to find the optimum hyperparameters (variab...
I wish to run a multiple linear regression analysis on some biomedical data, controlling for age and gender.
How do I do...
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