Optimality and convergence for convex ensemble learning with sparsity and diversity based on fixed point optimization.
Yoichi HayashiHideaki IidukaPublished in: Neurocomputing (2018)
Keyphrases
- fixed point
- ensemble learning
- stationary points
- generalization ability
- ensemble methods
- sufficient conditions
- belief propagation
- base classifiers
- high dimensional
- optimization algorithm
- convergence rate
- machine learning
- prediction accuracy
- dynamical systems
- convex optimization
- neural network
- free energy
- variational inequalities
- convergence speed
- random forest
- support vector machine
- unlabeled data
- simulated annealing