A comparison of kernel functions for intimate mixture models.
Joshua B. BroadwaterAmit BanerjeePublished in: WHISPERS (2009)
Keyphrases
- mixture model
- kernel function
- support vector
- gaussian mixture model
- kernel methods
- em algorithm
- density estimation
- feature space
- generative model
- probabilistic model
- support vector machine
- support vectors
- model selection
- expectation maximization
- unsupervised learning
- mixture modeling
- kernel matrix
- reproducing kernel hilbert space
- maximum likelihood
- kernel matrices
- high dimensional
- probability density function
- kernel learning
- hyperplane
- learning problems
- language model
- feature selection
- computer vision
- data sets
- representer theorem
- feature set
- knn
- data mining