Learning the Long-Term Structure of the Blues
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Learning Context Sensitive Languages with LSTM Trained with Kalman Filters
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Applying LSTM to Time Series Predictable through Time-Window Approaches
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Learning precise timing with lstm recurrent networks
The Journal of Machine Learning Research
Modeling systems with internal state using evolino
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Rule Extraction from Recurrent Neural Networks: A Taxonomy and Review
Neural Computation
The Crystallizing Substochastic Sequential Machine Extractor: CrySSMEx
Neural Computation
Training Recurrent Networks by Evolino
Neural Computation
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Neural Information Processing
Evolino: hybrid neuroevolution / optimal linear search for sequence learning
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Evolving Memory Cell Structures for Sequence Learning
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Hierarchical controller learning in a first-person shooter
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
ICNVS'10 Proceedings of the 12th international conference on Networking, VLSI and signal processing
An unsupervised learning based LSTM model: a new architecture
AMERICAN-MATH'11/CEA'11 Proceedings of the 2011 American conference on applied mathematics and the 5th WSEAS international conference on Computer engineering and applications
CrySSMEx, a novel rule extractor for recurrent neural networks: overview and case study
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Self-Organizing neural networks for signal recognition
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Normalizing historical orthography for OCR historical documents using LSTM
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
| Hi-index | 0.00 |
Previous work on learning regular languages from exemplary training sequences showed that long short-term memory (LSTM) outperforms traditional recurrent neural networks (RNNs). We demonstrate LSTMs superior performance on context-free language benchmarks for RNNs, and show that it works even better than previous hardwired or highly specialized architectures. To the best of our knowledge, LSTM variants are also the first RNNs to learn a simple context-sensitive language, namely anbncn