Using Monte Carlo method to estimate the behavior of neural training between balanced and unbalanced data in classification of patterns.
Paulo Marcelo TasinaffoGildárcio Sousa GonçalvesAdilson Marques da CunhaLuiz Alberto Vieira DiasPublished in: Artif. Intell. Res. (2018)
Keyphrases
- unbalanced data
- monte carlo method
- training set
- training samples
- markov chain
- classification accuracy
- support vector machine
- supervised learning
- training process
- monte carlo
- pattern recognition
- decision trees
- text classification
- support vector
- feature extraction
- svm training
- machine learning
- neural network
- support vector machine svm
- multiple kernel learning
- feature space
- image classification
- bayesian networks
- training examples
- training data