Evaluation of pattern classifiers - Applying a Monte Carlo significance test to the classification efficiency.
Edgard NyssenPublished in: Pattern Recognit. Lett. (1998)
Keyphrases
- monte carlo
- decision trees
- classification method
- support vector
- classification algorithm
- classification models
- classification rate
- monte carlo simulation
- training set
- importance sampling
- class labels
- monte carlo methods
- feature set
- markov chain
- particle filter
- svm classifier
- adaptive sampling
- fold cross validation
- training samples
- machine learning algorithms
- statistical tests
- feature selection
- support vector machine svm
- text classification
- classifier combination
- classification accuracy
- training data
- feature extraction
- game tree search
- stochastic approximation
- point processes
- statistical significance
- support vector machine
- feature space
- cross validation
- naive bayes
- matrix inversion
- monte carlo tree search
- machine learning
- co training
- optimal strategy
- temporal difference
- supervised learning
- least squares
- monte carlo method
- feature vectors