A Neural Architecture for Multi-label Text Classification.
Sam CoopeYoram BachrachAndrej Zukov GregoricJosé RodríguezBogdan MaksakConan McMurtieMahyar BordbarPublished in: IntelliSys (1) (2018)
Keyphrases
- multi label
- neural architecture
- text classification
- text categorization
- neural network
- multi label classification
- feed forward
- image annotation
- binary classification
- basis functions
- learning tasks
- multilayer perceptron
- naive bayes
- text mining
- activation function
- multi layer perceptron
- image classification
- text classifiers
- feature selection
- machine learning
- graph cuts
- k nearest neighbor
- back propagation
- labeled data
- higher order
- knn
- data sets
- learning algorithm
- unlabeled data
- unsupervised learning
- artificial intelligence
- high dimensional
- natural language
- support vector
- image processing