Classification of Encrypted Word Embeddings using Recurrent Neural Networks.
Robert PodschwadtDaniel TakabiPublished in: PrivateNLP@WSDM (2020)
Keyphrases
- recurrent neural networks
- neural network
- pattern recognition
- classification accuracy
- feed forward
- echo state networks
- complex valued
- artificial neural networks
- co occurrence
- recurrent networks
- feedforward neural networks
- feature vectors
- decision trees
- machine learning
- support vector machine svm
- classification method
- support vector
- feature extraction
- reservoir computing
- long short term memory
- training set
- expert systems
- real time
- image classification
- model selection
- vector space
- feature space
- data mining