Classification and clustering with continuous time Bayesian network models.
Daniele CodecasaFabio StellaPublished in: J. Intell. Inf. Syst. (2015)
Keyphrases
- classification accuracy
- unsupervised learning
- clustering algorithm
- support vector
- bayesian network models
- decision trees
- k means
- feature selection
- text classification
- feature vectors
- support vector machine
- training samples
- feature space
- probabilistic model
- graphical models
- machine learning
- class labels
- high dimensionality
- marginal likelihood
- data mining