Adaptive p-posterior mixture-model kernels for multiple instance learning.
Hua-Yan WangQiang YangHongbin ZhaPublished in: ICML (2008)
Keyphrases
- mixture model
- multiple instance learning
- probabilistic model
- multiple instance
- generative model
- gaussian mixture model
- multi class
- density estimation
- em algorithm
- semi supervised
- supervised learning
- expectation maximization
- language model
- unsupervised learning
- posterior probability
- model selection
- semi supervised learning
- probability density function
- probability distribution
- maximum likelihood
- feature space
- kernel function
- class labels
- bayesian framework
- posterior distribution
- kernel methods
- machine learning
- multi modal
- gaussian process
- support vector
- decision trees