Novel Bayesian inference on optimal parameters of support vector machines and its application to industrial survey data classification.
Jingjing ZhongPeter W. TseDong WangPublished in: Neurocomputing (2016)
Keyphrases
- bayesian inference
- support vector
- optimal parameters
- survey data
- hyperparameters
- support vector machine
- classification accuracy
- large margin classifiers
- support vector regression
- probabilistic model
- cross validation
- feature vectors
- pattern recognition
- feature extraction
- prior information
- optimization procedure
- bayesian methods
- particle filter
- training examples
- feature selection
- kernel function
- neural network
- decision trees
- input image
- gaussian process
- training set
- face recognition
- genetic algorithm