A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models.
Sebastian G. GruberFlorian BüttnerPublished in: CoRR (2023)
Keyphrases
- generative model
- bias variance
- trade off
- fisher kernel
- probabilistic model
- bias variance analysis
- discriminative learning
- prior knowledge
- mixture model
- discriminative models
- kernel function
- em algorithm
- hierarchical hidden markov models
- topic models
- kernel methods
- semi supervised
- conditional random fields
- generative and discriminative models
- object categories
- feature space
- low variance
- graphical models
- support vector
- expectation maximization
- pairwise
- real valued
- data mining
- hidden markov models
- information extraction
- object detection
- supervised learning
- natural images