Classifying Molecules Using a Sparse Probabilistic Kernel Binary Classifier.
Robert LoweHamse Y. MussaJohn B. O. MitchellRobert C. GlenPublished in: J. Chem. Inf. Model. (2011)
Keyphrases
- feature space
- linear classifiers
- support vector
- binary classifiers
- sparse kernel
- kernel function
- multiple kernel learning
- hierarchical classification
- multiple kernel
- support vector machine
- multi class svm
- additive models
- training data
- kernel classifiers
- feature selection
- continuous valued
- high dimensional
- error correcting output codes
- reduced set
- gaussian processes
- dot product
- kernel methods
- feature set
- bayesian networks
- positive semi definite
- training samples
- classification process
- generative model
- probabilistic model
- training set
- regularized least squares
- decision trees
- binary classification problems
- sparse data
- feature maps
- binary classification
- classification algorithm
- svm classifier
- sparse representation
- training examples
- multi class
- decision function
- kernel learning
- input space
- kernel matrices
- generalized discriminant analysis