Continuous history compression

By J. Urgen Schmidhuber, Michael C. Mozer, Daniel Prelinger. 1993

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Stefan Heil
2. J. Urgen Schmidhuber
3. Yoshua Bengio

Citations in the corpus

• Deep learning in neural networks: An overview (2014, neutral): “There also is a continuous variant (Schmidhuber et al., 1993).”
• Sequential neural text compression (1996, methodology): “See [8] for a method that uses a predictor of conditional probabilities to”
• My First Deep Learning System of 1991 + Deep Learning Timeline 1962-2013 (2013, unknown): “There also is a continuous variant [84].”