 | 2009 |
|---|
| 11 |       | Daniela Chudá,
Martin Nehéz,
Michal Cernanský:
On using of random access machine simulators in teaching of theoretical computer science.
CompSysTech 2009: 84 |
| 10 | | Michal Cernanský:
Training Recurrent Neural Network Using Multistream Extended Kalman Filter on Multicore Processor and Cuda Enabled Graphic Processor Unit.
ICANN (1) 2009: 381-390 |
| 2008 |
|---|
| 9 | | Michal Cernanský,
Peter Tiño:
Predictive Modeling with Echo State Networks.
ICANN (1) 2008: 778-787 |
| 8 | | Michal Cernanský,
Lubica Benusková:
Training Recurrent Connectionist Models on Symbolic Time Series.
ICONIP (1) 2008: 285-292 |
| 7 | | Michal Cernanský,
Matej Makula,
Lubica Benusková:
Improving the State Space Organization of Untrained Recurrent Networks.
ICONIP (1) 2008: 671-678 |
| 2007 |
|---|
| 6 | | Michal Cernanský,
Peter Tino:
Comparison of Echo State Networks with Simple Recurrent Networks and Variable-Length Markov Models on Symbolic Sequences.
ICANN (1) 2007: 618-627 |
| 5 | | Michal Cernanský,
Matej Makula,
Lubica Benusková:
Organization of the state space of a simple recurrent network before and after training on recursive linguistic structures.
Neural Networks 20(2): 236-244 (2007) |
| 2004 |
|---|
| 4 | | Matej Makula,
Michal Cernanský,
Lubica Benusková:
Approaches Based on Markovian Architectural Bias in Recurrent Neural Networks.
SOFSEM 2004: 257-264 |
| 3 | | Peter Tino,
Michal Cernanský,
Lubica Benusková:
Markovian architectural bias of recurrent neural networks.
IEEE Transactions on Neural Networks 15(1): 6-15 (2004) |
| 2003 |
|---|
| 2 | | K. Král,
P. Zdenek,
Z. Khás,
Michal Cernanský:
Optical spectra of quantum dot aggregates in sub-wetting layer region.
Microelectronics Journal 34(5-8): 583-585 (2003) |
| 2001 |
|---|
| 1 | | Michal Cernanský,
Lubica Benusková:
Finite-State Reber Automaton and the Recurrent Neural Networks Trained in Supervised and Unsupervised Manner.
ICANN 2001: 737-742 |
Data released under the ODC-BY 1.0 license — See also our legal information page