Bearings prognostic using Mixture of Gaussians Hidden Markov Model and Support Vector Machine.
F. SloukiaMohamed El AroussiH. MedromiMohamed WahbiPublished in: AICCSA (2013)
Keyphrases
- hidden markov models
- mixture of gaussians
- support vector machine
- maximum likelihood estimation
- multi class
- gaussian process
- gaussian mixture model
- svm classifier
- gaussian mixture
- expectation maximization
- mixture model
- gaussian distribution
- feature vectors
- background subtraction
- density estimation
- density function
- training data
- support vector
- conditional random fields
- decision boundary
- maximum likelihood
- machine learning
- feature selection
- training set
- em algorithm
- feature space
- probability density function
- moving objects
- regression model