Semisupervised PSO-SVM Regression for Biophysical Parameter Estimation.
Yakoub BaziFarid MelganiPublished in: IEEE Trans. Geosci. Remote. Sens. (2007)
Keyphrases
- parameter estimation
- support vector
- model selection
- regression algorithm
- semi supervised
- estimation problems
- particle swarm optimization pso
- support vector machine svm
- maximum likelihood
- least squares
- particle swarm optimization
- ls svm
- regression problems
- support vector machine
- regression model
- statistical models
- feature selection
- cross validation
- em algorithm
- parameter values
- parameter estimation algorithm
- markov random field
- svm classifier
- random fields
- kernel function
- expectation maximization
- model fitting
- training set
- approximate inference
- hyperparameters
- linear regression
- parameters estimation
- posterior distribution
- gaussian processes
- optimization algorithm
- training data
- machine learning
- support vector regression
- parameter estimates
- bp neural network
- feature space
- non stationary
- bayesian model selection
- variable selection
- pairwise
- differential evolution
- feature vectors
- simulated annealing
- optical flow
- higher order