From Imitation to Prediction, Data Compression vs Recurrent Neural Networks for Natural Language Processing.
Juan Andrés LauraGabriel MasiLuis ArgerichPublished in: Inteligencia Artif. (2018)
Keyphrases
- data compression
- recurrent neural networks
- natural language processing
- chaotic time series
- compression ratio
- neural network
- data reduction
- feed forward
- compression algorithm
- machine learning
- compression scheme
- reservoir computing
- artificial neural networks
- information extraction
- recurrent networks
- natural language
- huffman coding
- nonlinear dynamic systems
- compressed data
- image compression
- lossless data compression
- artificial intelligence
- arithmetic coding
- echo state networks
- high compression
- image quality
- mixed data
- wavelet filters
- neural model
- knowledge base
- image data