Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for binary classification.
Francisco Fernández-NavarroCésar Hervás-MartínezPedro Antonio GutiérrezJosé Manuel Peñá-BarragánFrancisca López-GranadosPublished in: Neurocomputing (2012)
Keyphrases
- parameter estimation
- radial basis function
- hybrid algorithm
- binary classification
- neural network
- support vector
- maximum likelihood
- support vector machine
- rbf network
- multi class
- learning problems
- genetic algorithm
- artificial neural networks
- model selection
- simulated annealing
- particle swarm optimization
- generalization error
- least squares
- markov random field
- tabu search
- cost sensitive
- multi label
- particle swarm optimization pso
- em algorithm
- support vector machine svm
- optimal solution
- differential evolution
- prediction accuracy
- expectation maximization
- basis functions
- class imbalance
- kernel function
- ant colony optimization
- cross validation
- pattern recognition
- machine learning
- feature selection
- optimization method
- kernel methods
- knn
- ensemble methods
- k nearest neighbor
- higher order
- special case
- active learning
- pairwise
- state space
- supervised learning
- learning algorithm