Probabilistic classifiers with low rank indefinite kernels.
Frank-Michael SchleifAndrej GisbrechtPeter TiñoPublished in: CoRR (2016)
Keyphrases
- low rank
- probabilistic classifiers
- kernel matrices
- linear combination
- missing data
- kernel matrix
- naive bayes
- matrix factorization
- semi supervised
- convex optimization
- low rank matrix
- labeled and unlabeled data
- kernel learning
- matrix completion
- singular value decomposition
- high dimensional data
- high order
- rank minimization
- kernel methods
- multiple kernel learning
- naive bayes classifier
- bayesian networks
- kernel function
- semi supervised learning
- text classification
- small number
- machine learning
- data sets
- generative model
- nearest neighbor
- feature space
- support vector