Monte Carlo general sample classification for rare circuit events using Random Forest.
Reem El-AdawiMohamed DessoukyPublished in: SMACD (2017)
Keyphrases
- monte carlo
- random forest
- decision trees
- feature set
- fold cross validation
- random forests
- importance sampling
- monte carlo simulation
- adaptive sampling
- markov chain
- classification accuracy
- conditional density estimation
- decision tree learning algorithms
- support vector
- ensemble classifier
- machine learning
- matrix inversion
- markovian decision
- ensemble methods
- machine learning algorithms
- feature selection
- monte carlo tree search
- feature extraction
- base classifiers
- classification models
- particle filter
- feature vectors
- multi class
- training set
- variance reduction
- machine learning methods
- test data
- ensemble learning
- feature space
- decision tree learning algorithm
- face recognition
- computer vision
- supervised learning
- text mining
- support vector machine svm
- text classification
- cost sensitive
- multi label
- training samples
- sample size
- naive bayes