Adversarial Training for EM Classification Networks.
Tom GrimesEric ChurchWilliam PittsLynn WoodEva BrayfindleyLuke EriksonMark GreavesPublished in: CoRR (2020)
Keyphrases
- training set
- supervised learning
- training samples
- pattern classification
- classification scheme
- classification method
- text classification
- training phase
- machine learning
- pattern recognition
- expectation maximization
- classification accuracy
- data sets
- classification systems
- multi layer perceptron
- feature extraction
- training process
- classification algorithm
- decision rules
- automatic classification
- classification rules
- density estimation
- classification models
- unsupervised learning
- maximum likelihood
- feature vectors
- training patterns
- social networks
- training dataset
- eeg signals
- classification process
- classification performances
- echo state networks
- support vector machine svm
- machine learning algorithms
- training examples
- mixture model
- generative model
- image classification
- feature set
- preprocessing
- decision trees
- feature selection
- neural network