-
2
-
-
0037928080
-
A taxanomy of spatiotemporal connectionist networks revisited: The unsupervised case
-
Barreto, de A. G., Araújo, A., & Kremer, S. (2003). A taxanomy of spatiotemporal connectionist networks revisited: The unsupervised case. Neural Computation, 15(6), 1255-1320.
-
(2003)
Neural Computation
, vol.15
, Issue.6
, pp. 1255-1320
-
-
De Barreto, A.G.1
Araújo, A.2
Kremer, S.3
-
3
-
-
0027187261
-
The temporal Kohonen map
-
Chappell, G., & Taylor, J. (1993). The temporal Kohonen map. Neural Networks, 6, 441-445.
-
(1993)
Neural Networks
, vol.6
, pp. 441-445
-
-
Chappell, G.1
Taylor, J.2
-
4
-
-
0028675409
-
Chaos game representation of protein structures
-
Fiser, A., Tusnady, G., & Simon, I. (1994). Chaos game representation of protein structures. Journal of Molecular Graphics, 12(4), 302-304.
-
(1994)
Journal of Molecular Graphics
, vol.12
, Issue.4
, pp. 302-304
-
-
Fiser, A.1
Tusnady, G.2
Simon, I.3
-
5
-
-
0037844902
-
Self-organizing map for adaptive processing of structured data
-
Hagenbuchner, M., Sperduti, A., & Tsoi, A. (2003). Self-organizing map for adaptive processing of structured data. IEEE Transactions on Neural Networks, 14(3), 491-505.
-
(2003)
IEEE Transactions on Neural Networks
, vol.14
, Issue.3
, pp. 491-505
-
-
Hagenbuchner, M.1
Sperduti, A.2
Tsoi, A.3
-
6
-
-
9144230256
-
Recursive self-organizing network models
-
Hammer, B., Micheli, A., Sperduti, A., & Strickert, M. (2004). Recursive self-organizing network models. Neural Networks, 17(8-9), 1061-1085.
-
(2004)
Neural Networks
, vol.17
, Issue.8-9
, pp. 1061-1085
-
-
Hammer, B.1
Micheli, A.2
Sperduti, A.3
Strickert, M.4
-
7
-
-
1542786232
-
A general framework for unsupervised processing of structured data
-
Hammer, B., Micheli, A., Strickert, M., & Sperduti, A. (2004). A general framework for unsupervised processing of structured data. Neurocomputing, 57, 3-35.
-
(2004)
Neurocomputing
, vol.57
, pp. 3-35
-
-
Hammer, B.1
Micheli, A.2
Strickert, M.3
Sperduti, A.4
-
8
-
-
0042326343
-
Neural networks with small weights implement finite memory machines
-
Hammer, B., & Tiňo, P. (2003). Neural networks with small weights implement finite memory machines. Neural Computation, 15(8), 1897-1926.
-
(2003)
Neural Computation
, vol.15
, Issue.8
, pp. 1897-1926
-
-
Hammer, B.1
Tiňo, P.2
-
9
-
-
0033722203
-
Fractals from genomes - Exact solutions of a biology-inspired problem
-
Hao, B.-L. (2000). Fractals from genomes - exact solutions of a biology-inspired problem. Physica A, 282, 225-246.
-
(2000)
Physica A
, vol.282
, pp. 225-246
-
-
Hao, B.-L.1
-
10
-
-
0034190318
-
Fractals related to long DNA sequences and complete genomes
-
Hao, B.-L., Lee, H., & Zhang, S. (2000). Fractals related to long DNA sequences and complete genomes. Chaos, Solitons and Fractals, 11, 825-836.
-
(2000)
Chaos, Solitons and Fractals
, vol.11
, pp. 825-836
-
-
Hao, B.-L.1
Lee, H.2
Zhang, S.3
-
11
-
-
0013423431
-
Feedback self-organizing map and its application to spatio-temporal pattern classification
-
Horio, K., & Yamakawa, T. (2001). Feedback self-organizing map and its application to spatio-temporal pattern classification. International Journal of Computational Intelligence and Applications, 1(1), 1-18.
-
(2001)
International Journal of Computational Intelligence and Applications
, vol.1
, Issue.1
, pp. 1-18
-
-
Horio, K.1
Yamakawa, T.2
-
12
-
-
85153931963
-
Sardnet: A self-organizing feature map for sequences
-
G. Tesauro, D. Touretzky, & T. Leen (Eds.), San Francisco: Morgan Kaufmann
-
James, D., & Miikkulainen, R. (1995). Sardnet: A self-organizing feature map for sequences. In G. Tesauro, D. Touretzky, & T. Leen (Eds.), Advances in neural information processing systems, 7 (pp. 577-584). San Francisco: Morgan Kaufmann.
-
(1995)
Advances in Neural Information Processing Systems
, vol.7
, pp. 577-584
-
-
James, D.1
Miikkulainen, R.2
-
13
-
-
0025340372
-
Chaos game representation of gene structure
-
Jeffrey, J. (1990). Chaos game representation of gene structure. Nucleic Acids Research, 18(8), 2163-2170.
-
(1990)
Nucleic Acids Research
, vol.18
, Issue.8
, pp. 2163-2170
-
-
Jeffrey, J.1
-
14
-
-
0030530020
-
Measures of full dimension on affine invariant sets
-
Kenyon, R., & Peres, Y. (1996). Measures of full dimension on affine invariant sets. Ergodic Theory and Dynamical Systems, 16, 307-323.
-
(1996)
Ergodic Theory and Dynamical Systems
, vol.16
, pp. 307-323
-
-
Kenyon, R.1
Peres, Y.2
-
15
-
-
0020068152
-
Self-organizing formation of topologically correct feature maps
-
Kohonen, T. (1982). Self-organizing formation of topologically correct feature maps. Biological Cybernetics, 43, 59-69.
-
(1982)
Biological Cybernetics
, vol.43
, pp. 59-69
-
-
Kohonen, T.1
-
16
-
-
0025489075
-
The self-organizing map
-
Kohonen, T. (1990). The self-organizing map. Proceedings of the IEEE, 78(9), 1464-1479.
-
(1990)
Proceedings of the IEEE
, vol.78
, Issue.9
, pp. 1464-1479
-
-
Kohonen, T.1
-
17
-
-
1542431106
-
Recurrent SOM with local linear models in time series prediction
-
Brussels: D-Facto Publications
-
Koskela, T., Varsta, M., Heikkonen, J., & Kaski, K. (1998). Recurrent SOM with local linear models in time series prediction. In 6th European Symposium on Artificial Neural Networks (pp. 167-172). Brussels: D-Facto Publications.
-
(1998)
6th European Symposium on Artificial Neural Networks
, pp. 167-172
-
-
Koskela, T.1
Varsta, M.2
Heikkonen, J.3
Kaski, K.4
-
18
-
-
0036791992
-
Self-organizing maps with recursive neighborhood adaptation
-
Lee, J., & Verleysen, M. (2002). Self-organizing maps with recursive neighborhood adaptation. Neural Networks, 15(8-9), 993-1003.
-
(2002)
Neural Networks
, vol.15
, Issue.8-9
, pp. 993-1003
-
-
Lee, J.1
Verleysen, M.2
-
19
-
-
0027318111
-
Entropic profiles of dna sequences through chaos-game-derived images
-
Oliver, J. L., Bernaola-Galván, P., Guerrero-Garcia, J., & Román-Roldan, R. (1993). Entropic profiles of dna sequences through chaos-game-derived images. Journal of Theoretical Biology, 160(4), 457-470.
-
(1993)
Journal of Theoretical Biology
, vol.160
, Issue.4
, pp. 457-470
-
-
Oliver, J.L.1
Bernaola-Galván, P.2
Guerrero-Garcia, J.3
Román-Roldan, R.4
-
20
-
-
0036792320
-
Principles and networks for self-organization in space-time
-
Principe, J., Euliano, N., & Garani, S. (2002). Principles and networks for self-organization in space-time. Neural Networks, 15(8-9), 1069-1083.
-
(2002)
Neural Networks
, vol.15
, Issue.8-9
, pp. 1069-1083
-
-
Principe, J.1
Euliano, N.2
Garani, S.3
-
21
-
-
0028447306
-
Entropic feature for sequence pattern through iteration function systems
-
Román-Roldan, R., Bernaola-Galván, P., & Oliver, J. (1994). Entropic feature for sequence pattern through iteration function systems. Pattern Recognition Letters, 15, 567-573.
-
(1994)
Pattern Recognition Letters
, vol.15
, pp. 567-573
-
-
Román-Roldan, R.1
Bernaola-Galván, P.2
Oliver, J.3
-
22
-
-
0742324117
-
Temporally asymmetric learning supports sequence processing in multi-winner self-organizingmaps
-
Schulz, R., & Reggia, J. (2004). Temporally asymmetric learning supports sequence processing in multi-winner self-organizingmaps. Neural Computation, 16(3), 535-561.
-
(2004)
Neural Computation
, vol.16
, Issue.3
, pp. 535-561
-
-
Schulz, R.1
Reggia, J.2
-
24
-
-
15844418774
-
Merge som for temporal data
-
Strickert, M., & Hammer, B. (2005). Merge som for temporal data. Neurocomputing, 64, 39-72.
-
(2005)
Neurocomputing
, vol.64
, pp. 39-72
-
-
Strickert, M.1
Hammer, B.2
-
25
-
-
0037083889
-
Multifractal properties of Hao's geometric representations of DNA sequences
-
Tiňo, P. (2002). Multifractal properties of Hao's geometric representations of DNA sequences. Physica A: Statistical Mechanics and its Applications, 304(3-4), 480-494.
-
(2002)
Physica A: Statistical Mechanics and Its Applications
, vol.304
, Issue.3-4
, pp. 480-494
-
-
Tiňo, P.1
-
26
-
-
6044234526
-
Markovian architectural bias of recurrent neural networks
-
Tiňo, P., Čerňanský, M., & Beňušková, L. (2004). Markovian architectural bias of recurrent neural networks. IEEE Transactions on Neural Networks, 15(1), 6-15.
-
(2004)
IEEE Transactions on Neural Networks
, vol.15
, Issue.1
, pp. 6-15
-
-
Tiňo, P.1
Čerňanský, M.2
Beňuš ková, L.3
-
27
-
-
0000860629
-
Predicting the future of discrete sequences from fractal representations of the past
-
Tiňo, P., & Dorffner, G. (2001). Predicting the future of discrete sequences from fractal representations of the past. Machine Learning, 45(2), 187-218.
-
(2001)
Machine Learning
, vol.45
, Issue.2
, pp. 187-218
-
-
Tiňo, P.1
Dorffner, G.2
-
28
-
-
0042827445
-
Architectural bias in recurrent neural networks: Fractal analysis
-
Tiňo, P., & Hammer, B. (2004). Architectural bias in recurrent neural networks: Fractal analysis. Neural Computation, 15(8), 1931-1957.
-
(2004)
Neural Computation
, vol.15
, Issue.8
, pp. 1931-1957
-
-
Tiňo, P.1
Hammer, B.2
-
29
-
-
0033097317
-
Extracting finite state representations from recurrent neural networks trained on chaotic symbolic sequences
-
Tiňo, P., & Köteles, M. (1999). Extracting finite state representations from recurrent neural networks trained on chaotic symbolic sequences. IEEE Transactions on Neural Networks, 10(2), 284-302.
-
(1999)
IEEE Transactions on Neural Networks
, vol.10
, Issue.2
, pp. 284-302
-
-
Tiňo, P.1
Köteles, M.2
-
30
-
-
0036790884
-
Recursive self-organizing maps
-
Voegtlin, T. (2002). Recursive self-organizing maps. Neural Networks, 15(8-9), 979-992.
-
(2002)
Neural Networks
, vol.15
, Issue.8-9
, pp. 979-992
-
-
Voegtlin, T.1
-
31
-
-
0038266121
-
The time-organized map algorithm: Extending the self-organizing map to spatiotemporal signals
-
Wiemer, J. (2003). The time-organized map algorithm: Extending the self-organizing map to spatiotemporal signals. Neural Computation, 16, 1143-1171.
-
(2003)
Neural Computation
, vol.16
, pp. 1143-1171
-
-
Wiemer, J.1
-
32
-
-
0036128861
-
ViSOM - A novel method for multivariate data projection and structure visualisation
-
Yin, H. (2002). ViSOM - a novel method for multivariate data projection and structure visualisation. IEEE Transactions on Neural Networks, 13(1), 237-243.
-
(2002)
IEEE Transactions on Neural Networks
, vol.13
, Issue.1
, pp. 237-243
-
-
Yin, H.1
|