Using Neural Networks for Data-Driven Backchannel Prediction: A Survey on Input Features and Training Techniques.
Markus MüllerDavid LeuschnerLars BriemMaria SchmidtKevin KilgourSebastian StükerAlex WaibelPublished in: HCI (2) (2015)
Keyphrases
- input features
- data driven
- neural network
- activation function
- multi layer perceptron
- training process
- training phase
- prediction model
- artificial neural networks
- support vector machine
- prediction accuracy
- neural nets
- classification algorithm
- machine learning algorithms
- feature selection
- class labels
- feed forward
- pattern recognition
- training examples
- back propagation
- labeled examples
- training set
- selected features
- genetic algorithm
- fuzzy neural network
- training data
- feature subset
- multilayer perceptron
- training samples
- supervised learning
- hidden layer