Investigation of Random Neighborhood Features for Interpretation of MLP Classification Results.
Oleksii GorokhovatskyiOlena PeredriiVolodymyr ZatkheiOleh TeslenkoPublished in: ISDMCI (2019)
Keyphrases
- feature vectors
- classification accuracy
- feature set
- feature extraction
- svm classifier
- classification method
- feature space
- classification process
- classification models
- layer perceptron
- extracted features
- feature analysis
- multi layer perceptron
- extracting features
- pattern recognition
- benchmark datasets
- image features
- multilayer perceptron
- low level
- neural classifier
- gender classification
- support vector machine svm
- irrelevant features
- high level
- high dimensionality
- neural network
- feature values
- machine learning
- feature representation
- classification scheme
- features extraction
- pattern classification
- feature selection
- false positives
- image classification
- support vector machine
- neyman pearson
- feature reduction
- textural features
- feature subset
- discriminative features
- class labels
- feature selection algorithms
- co occurrence
- supervised learning
- k nearest neighbor
- knn
- training set
- training data
- classification algorithm
- decision tree classifiers
- feature extraction and classification
- decision trees
- generalization ability
- multi layered perceptron