Recursive self-organizing network models

Hammer B, Micheli A, Sperduti A, Strickert M (2004)
Neural Networks 17(8-9): 1061-1085.

Download
Es wurde kein Volltext hochgeladen. Nur Publikationsnachweis!
Zeitschriftenaufsatz | Veröffentlicht | Englisch
Autor
; ; ;
Erscheinungsjahr
Zeitschriftentitel
Neural Networks
Band
17
Zeitschriftennummer
8-9
Seite
1061-1085
ISSN
PUB-ID

Zitieren

Hammer B, Micheli A, Sperduti A, Strickert M. Recursive self-organizing network models. Neural Networks. 2004;17(8-9):1061-1085.
Hammer, B., Micheli, A., Sperduti, A., & Strickert, M. (2004). Recursive self-organizing network models. Neural Networks, 17(8-9), 1061-1085. doi:10.1016/j.neunet.2004.06.009
Hammer, B., Micheli, A., Sperduti, A., and Strickert, M. (2004). Recursive self-organizing network models. Neural Networks 17, 1061-1085.
Hammer, B., et al., 2004. Recursive self-organizing network models. Neural Networks, 17(8-9), p 1061-1085.
B. Hammer, et al., “Recursive self-organizing network models”, Neural Networks, vol. 17, 2004, pp. 1061-1085.
Hammer, B., Micheli, A., Sperduti, A., Strickert, M.: Recursive self-organizing network models. Neural Networks. 17, 1061-1085 (2004).
Hammer, Barbara, Micheli, A., Sperduti, A., and Strickert, M. “Recursive self-organizing network models”. Neural Networks 17.8-9 (2004): 1061-1085.

17 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

A new non-invasive diagnostic tool in coronary artery disease: artificial intelligence as an essential element of predictive, preventive, and personalized medicine.
Zellweger MJ, Tsirkin A, Vasilchenko V, Failer M, Dressel A, Kleber ME, Ruff P, März W., EPMA J 9(3), 2018
PMID: 30174760
Multiplex visibility graphs to investigate recurrent neural network dynamics.
Bianchi FM, Livi L, Alippi C, Jenssen R., Sci Rep 7(), 2017
PMID: 28281563
Deep Learning in Drug Discovery.
Gawehn E, Hiss JA, Schneider G., Mol Inform 35(1), 2016
PMID: 27491648
Prototype-based models in machine learning.
Biehl M, Hammer B, Villmann T., Wiley Interdiscip Rev Cogn Sci 7(2), 2016
PMID: 26800334
A new memetic pattern based algorithm to diagnose/exclude coronary artery disease.
Zellweger MJ, Brinkert M, Bucher U, Tsirkin A, Ruff P, Pfisterer ME., Int J Cardiol 174(1), 2014
PMID: 24750720
Emergence in the central nervous system.
Brown SR., Cogn Neurodyn 7(3), 2013
PMID: 24427200
Compositional generative mapping for tree-structured data--part II: topographic projection model.
Bacciu D, Micheli A, Sperduti A., IEEE Trans Neural Netw Learn Syst 24(2), 2013
PMID: 24808278
Visualized analysis of mixed numeric and categorical data via extended self-organizing map.
Hsu CC, Lin SH., IEEE Trans Neural Netw Learn Syst 23(1), 2012
PMID: 24808457
Compositional generative mapping for tree-structured data--part I: bottom-up probabilistic modeling of trees.
Bacciu D, Micheli A, Sperduti A., IEEE Trans Neural Netw Learn Syst 23(12), 2012
PMID: 24808152
Clustering: a neural network approach.
Du KL., Neural Netw 23(1), 2010
PMID: 19758784
Topographic mapping of large dissimilarity data sets.
Hammer B, Hasenfuss A., Neural Comput 22(9), 2010
PMID: 20569180
Self-organizing multilayer perceptron.
Gas B., IEEE Trans Neural Netw 21(11), 2010
PMID: 20858579
Air medical response to traumatic brain injury: a computer learning algorithm analysis.
Davis DP, Peay J, Good B, Sise MJ, Kennedy F, Eastman AB, Velky T, Hoyt DB., J Trauma 64(4), 2008
PMID: 18404053
Visualization of tree-structured data through generative topographic mapping.
Gianniotis N, Tino P., IEEE Trans Neural Netw 19(8), 2008
PMID: 18701375
Dynamics and topographic organization of recursive self-organizing maps.
Tino P, Farkas I, van Mourik J., Neural Comput 18(10), 2006
PMID: 16907636
Special issue on neural networks and kernel methods for structured domains.
Hammer B, Saunders C, Sperduti A., Neural Netw 18(8), 2005
PMID: 16182511

74 References

Daten bereitgestellt von Europe PubMed Central.

Exploiting the past and the future in protein secondary structure prediction.
Baldi P, Brunak S, Frasconi P, Soda G, Pollastri G., Bioinformatics 15(11), 1999
PMID: 10743560
Time in self-organizing maps: An overview of models
Barreto, Internarional Journal of Computer Research 10(2), 2001
A taxonomy for spatiotemporal connectionist networks revisited: the unsupervised case.
Barreto Gde A, Araujo AF, Kremer SC., Neural Comput 15(6), 2003
PMID: 12816574
Quantifying the neighborhood preservation of self-organizing feature maps.
Bauer HU, Pawelzik KR., IEEE Trans Neural Netw 3(4), 1992
PMID: 18276457
Growing a hypercubical output space in a self-organizing feature map.
Bauer HU, Villmann T., IEEE Trans Neural Netw 8(2), 1997
PMID: 18255626
Convergence theory for fuzzy c-means: Counterexamples and repairs
Bezdek, IEEE Transactions on Systems, Man, and Cybernetics 17(), 1987
Application of cascade correlation networks for structures to chemistry
Bianucci, Journal of Applied Intelligence 12(), 2000
Simple strategies to encode tree automata in sigmoid recursive neural networks
Carrasco, IEEE Transactions on Knowledge and Data Engineering 13(2), 2001
The temporal Kohonen map
Chappell, Neural Networks 6(), 1993
Magnification control in winner relaxing neural gas
Claussen, 2003
Towards incremental parsing of natural language using recursive neural networks
Costa, Applied Intelligence 19(1–2), 2003
Two or three things that we know about the Kohonen algorithm
Cottrell, 1994
Similarity learning for graph-based image representations
De, Pattern Recognition Letters 24(8), 2003
Hidden tree Markov models for document image classification
Diligenti, IEEE Transactions on Pattern Analysis and Machine Intelligence 25(4), 2003
Self-organizing maps: ordering, convergence properties and energy functions.
Erwin E, Obermayer K, Schulten K., Biol Cybern 67(1), 1992
PMID: 1606243
A spatiotemporal memory based on SOMs with activity diffusion
Euliano, 1999

AUTHOR UNKNOWN, 0
Logo recognition by recursive neural networks
Francesconi, 1997
A field guide to dynamical recurrent networks
Frasconi, 2001
A general framework for adaptive processing of data structures
Frasconi, IEEE TNN 9(5), 1998

AUTHOR UNKNOWN, 0

Gécseg, 1984
On the implementation of frontier-to-root tree automata in recursive neural networks.
Gori M, Kuchler A, Sperduti A., IEEE Trans Neural Netw 10(6), 1999
PMID: 18252632
Validation indices for graph clustering
Günter, 2001
A self-organizing map for adaptive processing of structured data.
Hagenbuchner M, Sperduti A, Tsoi AC., IEEE Trans Neural Netw 14(3), 2003
PMID: 18238034
A supervised self-organizing map for structured data
Hagenbuchner, 2001
Learning with recurrent neural networks
Hammer, 2000
Recurrent networks for structured data—A unifying approach and its properties
Hammer, Cognitive Systems Research 3(2), 2002
Neural methods for non-standard data
Hammer, 2004
A general framework for unsupervised processing of structured data
Hammer, 2002
A general framework for unsupervised processing of structured data
Hammer, Neurocomputing 57(), 2004
Perspectives on learning with recurrent networks
Hammer, 2002
Recurrent neural networks with small weights implement definite memory machines
Hammer, Neural Computation 15(8), 2003
Generalized relevance learning vector quantization.
Hammer B, Villmann T., Neural Netw 15(8-9), 2002
PMID: 12416694
Self-organizing maps, vector quantization, and mixture modeling.
Heskes T., IEEE Trans Neural Netw 12(6), 2001
PMID: 18249959
An extended Kohonen feature map for sentence recognition
Hoekstra, 1993
SARDNET: A self-organizing feature map for sequences
James, 1995
Time-delayed self-organizing maps
Kangas, Proceedings of the IEEE/INNS International Joint Conference on Neural Networks 2(), 1990
Bankruptcy analysis with self-organizing maps in learning metrics.
Kaski S, Sinkkonen J, Peltonen J., IEEE Trans Neural Netw 12(4), 2001
PMID: 18249924
Bibliography of self-organizing maps, papers: 1981–1997
Kaski, Neural Computing Surveys. 1(), 1998
The dynamic universality of sigmoidal neural networks
Kilian, Information and Computation 128(), 1996
Learning vector quantization
Kohonen, 1995

Kohonen, 1997
Very large two-level SOM for the browsing of newsgroups
Kohonen, 1996
How to make large self-organizing maps for nonvectorial data.
Kohonen T, Somervuo P., Neural Netw 15(8-9), 2002
PMID: 12416685
Recurrent SOM with local linear models in time series prediction
Koskela, 1998
Time series prediction using recurrent SOM with local linear models
Koskela, International Journal of Knowledge-Based Intelligent Engineering Systems 2(1), 1998
Spatio-temporal connectionist networks: A taxonomy and review
Kremer, Neural Computation 13(2), 2001
An algorithm for vector quantizer design
Linde, IEEE Transactions on Communications 28(), 1980
;Neural-gas' network for vector quantization and its application to time-series prediction.
Martinetz TM, Berkovich SG, Schulten KJ., IEEE Trans Neural Netw 4(4), 1993
PMID: 18267757
Topology representing networks
Martinetz, Neural Networks 7(3), 1993
Constructing deterministic finite-state automata in recurrent neural networks
Omlin, Journal of the ACM 43(6), 1996
Text categorization and semantic browsing with self-organizing maps on non-euclidean spaces
Ontrup, 2001

AUTHOR UNKNOWN, 0
Parametrized self-organizing maps
Ritter, 1993
Self-organizing maps in non-euclidean spaces
Ritter, 1999

Ritter, 1992
On the stationary state of Kohonen's self-organizing sensory mapping
Ritter, Biological Cybernetics 54(1), 1986
Clustering based on conditional distributions in an auxiliary space.
Sinkkonen J, Kaski S., Neural Comput 14(1), 2002
PMID: 11747539
Neural networks for adaptive processing of structured data
Sperduti, 2001
Supervised neural networks for the classification of structures.
Sperduti A, Starita A., IEEE Trans Neural Netw 8(3), 1997
PMID: 18255672
Neural gas for sequences
Strickert, WSOM'03 (), 2003
Unsupervised recursive sequence processing
Strickert, 2003

AUTHOR UNKNOWN, 0
Temporal Kohonen map and recurrent self-organizing map: Analytical and experimental comparison
Varsta, Neural Processing Letters 13(3), 2001

AUTHOR UNKNOWN, 0
Topology preservation in self-organizing feature maps: exact definition and measurement.
Villmann T, Der R, Herrmann M, Martinetz TM., IEEE Trans Neural Netw 8(2), 1997
PMID: 18255630
Neural maps in remote sensing image analysis.
Villmann T, Merenyi E, Hammer B., Neural Netw 16(3-4), 2003
PMID: 12672434
Context quantization and contextual self-organizing maps
Voegtlin, Proceedings of the International Joint Conference on Neural Networks 5(), 2000
Recursive self-organizing maps.
Voegtlin T., Neural Netw 15(8-9), 2002
PMID: 12416688
Recursive self-organizing maps
Voegtlin, 2001

AUTHOR UNKNOWN, 0
Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines
Yao, Pattern Recognition 36(2), 2003

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®

Quellen

PMID: 15555852
PubMed | Europe PMC

Suchen in

Google Scholar