Probabilistic classifier: generated using randomised sub-sampling of the feature space.
Jonathan D. TyzackHamse Y. MussaRobert C. GlenPublished in: J. Cheminformatics (2012)
Keyphrases
- feature space
- training samples
- training set
- feature set
- feature selection
- sampling strategy
- feature vectors
- support vector machine
- kernel function
- high dimensional
- high dimensionality
- data points
- generative model
- principal component analysis
- bayesian networks
- kernel methods
- input data
- feature extraction
- high dimensional feature space
- dimension reduction
- classification accuracy
- dimensionality reduction
- probabilistic model
- classification algorithm
- low dimensional
- input space
- uncertain data
- image classification
- learning algorithm
- naive bayes
- mean shift
- dot product
- dissimilarity measure
- posterior probability
- support vector
- decision trees
- hyperplane
- random sampling
- search procedure
- confidence estimates
- parameter space
- svm classifier
- training examples
- image representation
- multi class
- probability distribution