Predictability of Some Pregnancy Outcomes Based on SVM and Dichotomous Regression Techniques.
Gabriele GuidiGiulia AdembriSilvia VannucciniErnesto IadanzaPublished in: IWAAL (2014)
Keyphrases
- support vector
- support vector machine svm
- support vector machine
- classification and regression problems
- support vector machines for classification
- support vector regression
- regression model
- regression problems
- relevance vector machine
- knn
- kernel ridge regression
- structural risk minimization
- linear regression
- ridge regression
- regression method
- svm classifier
- multi class
- multi class svm
- kernel function
- logistic regression
- support vectors
- standard svm
- ls svm
- neural network
- generalization ability
- simple linear
- nonlinear regression
- machine learning
- feature selection
- training data
- regression analysis
- feature vectors
- model selection
- cross validation
- maximum margin
- training set
- classification algorithm
- decision function
- regression methods
- svm classification
- gaussian processes
- risk factors
- multi class classification
- hyperplane
- partial least squares
- feature space