Model Selection for PCA-Linear SVM for automated detection of NS1 molecule from Raman spectra of salivary mixture.
A. R. M. RadzolKhuan Y. LeeWahidah MansorPublished in: EMBC (2015)
Keyphrases
- model selection
- automated detection
- linear svm
- raman spectra
- mixture model
- feature selection
- principal component analysis
- logistic regression
- text categorization
- cross validation
- automated analysis
- dimensionality reduction
- principal components
- hyperparameters
- hyperplane
- support vector
- gaussian mixture model
- sample size
- feature extraction
- parameter estimation
- regression model
- feature space
- support vectors
- lung cancer
- variable selection
- support vector machine
- machine learning
- independent component analysis
- dimension reduction
- low dimensional
- selection criterion
- face recognition
- gaussian processes
- svm classifier
- loss function
- text classification
- least squares