Supervised learning with probabilistic morphisms and kernel mean embeddings.
Hông Vân LêPublished in: CoRR (2023)
Keyphrases
- supervised learning
- unsupervised learning
- bayesian networks
- probabilistic model
- learning tasks
- feature space
- active learning
- training set
- convolution kernel
- learning algorithm
- training data
- reinforcement learning
- support vector
- kernel methods
- kernel function
- low dimensional
- kernel regression
- uncertain data
- training examples
- neural network
- generative model
- supervised learning tasks
- supervised machine learning
- kernel pca
- component analysis
- training samples
- belief networks
- latent variables
- vector space
- information theoretic
- class labels
- labeled data
- machine learning
- data mining