Constrained-Optimization-Based Bayesian Posterior Probability Extreme Learning Machine for Pattern Classification.
Sheng Yuong WongKeem Siah YapHwa Jen YapPublished in: ICONIP (3) (2014)
Keyphrases
- posterior probability
- pattern classification
- constrained optimization
- extreme learning machine
- bayesian networks
- support vector regression
- neural network
- bayesian framework
- gaussian processes
- generative model
- pattern recognition
- objective function
- feature extraction
- probabilistic model
- probability distribution
- probability density function
- conditional probabilities
- markov networks
- support vector machine
- gaussian process
- graphical models
- hyperparameters
- training data