First exploration of the potential of diverse training and voting for increasing the accuracy of CNNs.
Julián ProenzaYolanda González CidPatricia ArguimbauPublished in: ETFA (2019)
Keyphrases
- high accuracy
- training and testing data
- wide variety
- classification accuracy
- prediction accuracy
- training data
- supervised learning
- error rate
- decision trees
- precision and recall
- social choice
- linear svm
- cellular neural networks
- online learning
- training speed
- training phase
- highly accurate
- computational efficiency
- information systems
- recommender systems
- artificial neural networks
- training set
- computational complexity
- feature selection