Efficient global maximum likelihood estimation through kernel methods.
Cristiano CervelleraDanilo MacciòMarco MuselliPublished in: Neural Networks (2010)
Keyphrases
- kernel methods
- maximum likelihood estimation
- maximum likelihood
- kernel function
- em algorithm
- machine learning
- support vector
- feature space
- support vector machine
- reproducing kernel hilbert space
- expectation maximization
- multiple kernel learning
- kernel pca
- kernel principal component analysis
- data mining
- kernel learning
- kernel ridge regression
- kernel matrix
- unsupervised learning
- probability distribution
- decision trees