A State Space Approach and Hurst Exponent for Ensemble Predictors.
Ryszard SzupilukTomasz ZabkowskiPublished in: EANN (1) (2013)
Keyphrases
- state space
- hurst exponent
- neural network ensemble
- heuristic search
- ensemble methods
- ensemble learning
- dynamic programming
- reinforcement learning
- optimal policy
- markov decision processes
- ensemble members
- particle filter
- state variables
- dynamical systems
- markov chain
- random forests
- reinforcement learning algorithms
- random forest
- continuous state spaces
- action space
- markov decision process
- planning problems
- learning algorithm
- base learners
- classifier ensemble
- majority voting
- prediction accuracy
- search space
- data sets
- pruning algorithm
- ensemble pruning
- machine learning