Monte Carlo Theory as an Explanation of Bagging and Boosting.
Roberto EspositoLorenza SaittaPublished in: IJCAI (2003)
Keyphrases
- monte carlo
- variance reduction
- ensemble methods
- ensemble learning
- importance sampling
- monte carlo simulation
- markov chain
- randomized trees
- base classifiers
- monte carlo tree search
- machine learning
- ensemble classification
- learning algorithm
- adaptive sampling
- gradient boosting
- quasi monte carlo
- monte carlo methods
- markovian decision
- optimal strategy
- random forests
- decision trees
- particle filter
- monte carlo method
- sample size
- matrix inversion
- temporal difference
- point processes
- policy evaluation
- stochastic approximation
- majority voting
- support vector machine
- decision stumps
- active learning
- training set
- ensemble classifier
- optimal solution
- learning machines
- feature selection