Parametric classification with soft labels using the evidential EM algorithm: linear discriminant analysis versus logistic regression.
Benjamin QuostThierry DenoeuxShoumei LiPublished in: Adv. Data Anal. Classif. (2017)
Keyphrases
- logistic regression
- em algorithm
- linear discriminant analysis
- support vector
- involving high dimensional data
- classification and regression trees
- expectation maximization
- discriminant analysis
- decision trees
- dimension reduction
- support vector machine svm
- feature extraction
- maximum likelihood
- feature space
- mixture model
- gaussian mixture model
- classification accuracy
- dimensionality reduction
- gaussian mixture
- principal component analysis
- support vector machine
- naive bayes
- generative model
- svm classifier
- face recognition
- loss function
- discriminative information
- training examples
- density estimation
- pattern recognition
- classification trees
- feature selection
- training set
- machine learning
- class labels
- unsupervised learning
- high dimensional data
- kernel function
- feature vectors
- bayesian classifiers
- cross validation
- supervised learning
- training data
- multi label
- image classification
- feature set
- image processing