Dropout Feature Ranking for Deep Learning Models.
Chun-Hao ChangLadislav RampásekAnna GoldenbergPublished in: CoRR (2017)
Keyphrases
- evolutionary algorithm
- learning models
- feature ranking
- classification models
- feature selection algorithms
- feature selection
- machine learning
- learning algorithm
- machine learning algorithms
- learning tasks
- loss function
- semi supervised learning
- feature subset selection
- support vector machine
- genetic algorithm
- simulated annealing
- learning problems
- training data
- high dimensionality
- conditional random fields
- text categorization
- feature subset
- gene selection
- missing values
- decision trees
- random forest
- fold cross validation
- feature extraction
- multi layer perceptron
- neural network
- logistic regression
- missing data
- nearest neighbor
- feature vectors
- pattern recognition