A confidence predictor for logD using conformal regression and a support-vector machine.
Maris LapinsStaffan ArvidssonSamuel LampaArvid BergWesley SchaalJonathan AlvarssonOla SpjuthPublished in: J. Cheminformatics (2018)
Keyphrases
- support vector machine
- support vector regression
- support vector
- ridge regression
- regression problems
- support vector machines for classification
- conformal prediction
- regression model
- regression method
- total length
- svm classifier
- linear regression
- nonlinear regression
- multi class
- kernel function
- feature selection
- neural network
- feature space
- machine learning
- regression algorithm
- high confidence
- hyperplane
- model selection
- kernel methods
- training data
- locally weighted
- decision forest
- support vector machine svm
- regression methods
- confidence measure
- regression analysis
- confidence level
- dimensional data
- confidence scores
- knn
- predictor variables
- multi class support vector machines
- cross validation
- logistic regression
- reproducing kernel hilbert space
- partial least squares
- gaussian processes
- multiscale
- radial basis function
- feature vectors
- artificial neural networks