Measuring Features Strength in Probabilistic Classification.
Rosario DelgadoXavier-Andoni TibauPublished in: IPMU (1) (2018)
Keyphrases
- classification accuracy
- feature set
- feature vectors
- feature extraction
- classification method
- classification process
- svm classifier
- feature space
- benchmark datasets
- feature analysis
- pattern recognition
- support vector machine
- image features
- features extraction
- extracted features
- bayesian networks
- training set
- feature selection algorithms
- pattern classification
- gender classification
- feature selection
- irrelevant features
- class labels
- decision trees
- model selection
- extracting features
- text classification
- support vector
- data sets
- machine learning
- classification models
- probabilistic model
- feature construction
- feature weights
- automatic classification
- feature reduction
- neural network
- fisher linear discriminant
- feature extraction and classification
- feature values
- eeg signals
- classification algorithm
- false positives
- support vector machine svm
- generative model
- co occurrence
- supervised learning
- low level
- preprocessing