Faster Kernel Matrix Algebra via Density Estimation.
Arturs BackursPiotr IndykCameron MuscoTal WagnerPublished in: CoRR (2021)
Keyphrases
- density estimation
- kernel matrix
- kernel methods
- reproducing kernel hilbert space
- low rank
- kernel function
- mixture model
- metric learning
- model selection
- feature space
- input space
- outlier detection
- support vectors
- training samples
- gaussian mixture model
- em algorithm
- probability density function
- feature selection
- ls svm
- semi supervised
- knn
- cross validation
- pairwise
- machine learning algorithms
- learning algorithm
- prior knowledge
- pattern recognition
- multi task
- support vector machine
- support vector
- probabilistic model