Sparseness of the LS-SVM algorithm based on the leave one out cross validation method with Multibeam data.
Bo ZhangXianyuan HuangLong FanGuobin ChangPublished in: EITCE (2020)
Keyphrases
- input data
- prior information
- improved algorithm
- optimization algorithm
- leave one out cross validation
- k means
- data sets
- ls svm
- optimization method
- support vector machine svm
- learning algorithm
- expectation maximization
- similarity measure
- data points
- probabilistic model
- training data
- bayesian framework
- feature subset
- model selection
- hyperparameters
- missing data
- high dimensional
- variable selection
- incomplete data
- pairwise
- supervised learning
- closed form
- parameter estimation
- em algorithm
- support vector machine