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LSTM can Solve Hard Long Time Lag Problems
scientific article published in January 1997
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title
LSTM can Solve Hard Long Time Lag Problems
(English)
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main subject
long short-term memory
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author
Jürgen Schmidhuber
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2
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Jürgen Schmidhuber
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Sepp Hochreiter
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1
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language of work or name
English
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publication date
1997
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number of pages
8
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official website
https://papers.nips.cc/paper/1215-lstm-can-solve-hard-long-time-lag-problems
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full work available at URL
https://papers.nips.cc/paper/1215-lstm-can-solve-hard-long-time-lag-problems.pdf
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published in
Advances in Neural Information Processing Systems 9
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cites work
Credit Assignment through Time: Alternatives to Backpropagation
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An Input Output HMM Architecture
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Learning long-term dependencies with gradient descent is difficult.
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3
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Finite State Automata and Simple Recurrent Networks
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Hierarchical Recurrent Neural Networks for Long-Term Dependencies
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The Recurrent Cascade-Correlation Architecture
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Untersuchungen zu dynamischen neuronalen Netzen
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Induction of Multiscale Temporal Structure
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Gradient calculations for dynamic recurrent neural networks: a survey.
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Learning Complex, Extended Sequences Using the Principle of History Compression
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Induction of Finite-State Automata Using Second-Order Recurrent Networks
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19
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