-
1
-
-
0032784636
-
Neural maps and topographic vector quantization
-
Bauer, H.-U., Herrmann, M. and Villmann, T.: Neural maps and topographic vector quantization, Neural Networks 12(4-5) (1999), 659-676.
-
(1999)
Neural Networks
, vol.12
, Issue.4-5
, pp. 659-676
-
-
Bauer, H.-U.1
Herrmann, M.2
Villmann, T.3
-
2
-
-
0031101545
-
Growing a hypercubical output space in a self-organizing feature map
-
Bauer, H.-U. and Villmann, T.: Growing a hypercubical output space in a self-organizing feature map, IEEE Transactions on Neural Network 8(2) (1997), 218-226.
-
(1997)
IEEE Transactions on Neural Network
, vol.8
, Issue.2
, pp. 218-226
-
-
Bauer, H.-U.1
Villmann, T.2
-
4
-
-
0003408496
-
-
Irvine, CA: University of California, Department of Information and Computer Science
-
Blake, C. L. and Merz, C. J.: UCI repository of machine learning databases. Irvine, CA: University of California, Department of Information and Computer Science, http://www.ics.uci.edu/~mlearn/MLRepository.html, 1998.
-
(1998)
UCI Repository of Machine Learning Databases
-
-
Blake, C.L.1
Merz, C.J.2
-
5
-
-
0002902870
-
Relevance determination in learning vector quantization
-
Brussels, Belgium, D facto publications
-
Bojer, T., Hammer, B., Schunk, D. and Tluk von Toschanowitz, K.: Relevance determination in learning vector quantization, In: Proc. of European Symposium on Artificial Neural Networks (ESANN'01), (2001) pp. 271-276, Brussels, Belgium, D facto publications.
-
(2001)
Proc. of European Symposium on Artificial Neural Networks (ESANN'01)
, pp. 271-276
-
-
Bojer, T.1
Hammer, B.2
Schunk, D.3
Von Tluk Toschanowitz, K.4
-
8
-
-
79953842056
-
Margin analysis of the LVQ algorithm
-
to appear
-
Crammer, K., Gilad-Bachrach, R., Navot, A. and Tishby, A.: Margin analysis of the LVQ algorithm. In: Advances in Neural Information Processing Systems (2002), to appear.
-
Advances in Neural Information Processing Systems (2002)
-
-
Crammer, K.1
Gilad-Bachrach, R.2
Navot, A.3
Tishby, A.4
-
9
-
-
84972811713
-
Fuzzy shell-clustering and application to circle detection in digital images
-
Dave, R. N.: Fuzzy shell-clustering and application to circle detection in digital images, International Journal of General Systems, 16 (1990), 343-355.
-
(1990)
International Journal of General Systems
, vol.16
, pp. 343-355
-
-
Dave, R.N.1
-
10
-
-
0035271419
-
A new methodology of extraction, optimization, and application of crisp and fuzzy logical rules
-
Duch, W., Adamczak, R. and Grabczewski, K.: A new methodology of extraction, optimization, and application of crisp and fuzzy logical rules, IEEE Transactions on Neural Networks 12 (2001), 277-306.
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, pp. 277-306
-
-
Duch, W.1
Adamczak, R.2
Grabczewski, K.3
-
11
-
-
12844266543
-
-
INFORUM, University of Maryland
-
ECON-Data, A source of economic time series data, INFORUM, University of Maryland, available online at http://www.inform.umd.edu/econdata/Contents.html
-
ECON-Data, A Source of Economic Time Series Data
-
-
-
12
-
-
0026436795
-
Self-organizing maps: Ordering, convergence properties, and energy functions
-
Erwin, E., Obermayer, K. and Schulten, K.: Self-organizing maps: ordering, convergence properties, and energy functions, Biological Cybernetics, 67(1) (1992), 47-55.
-
(1992)
Biological Cybernetics
, vol.67
, Issue.1
, pp. 47-55
-
-
Erwin, E.1
Obermayer, K.2
Schulten, K.3
-
14
-
-
0344972928
-
Self-organizing maps: Generalizations and new optimization techniques
-
Graepel, T., Burger, M. and Obermayer, K.: Self-organizing maps: generalizations and new optimization techniques, Neurocomputing, 20 (1998), 173-190.
-
(1998)
Neurocomputing
, vol.20
, pp. 173-190
-
-
Graepel, T.1
Burger, M.2
Obermayer, K.3
-
15
-
-
0018057468
-
Fuzzy clustering with a fuzzy covariance matrix
-
San Diego, California
-
Gustafson, E. E. and Kessel, W. C.: Fuzzy clustering with a fuzzy covariance matrix. In: IEEE CDC, (1979), pp. 761-766. San Diego, California.
-
(1979)
IEEE CDC
, pp. 761-766
-
-
Gustafson, E.E.1
Kessel, W.C.2
-
16
-
-
0037312471
-
A note on the universal approximation capability of support vector machines
-
Hammer, B. and Gersmann, K.: A note on the universal approximation capability of support vector machines, Neural Processing Letters 17 (2003), 43-53.
-
(2003)
Neural Processing Letters
, vol.17
, pp. 43-53
-
-
Hammer, B.1
Gersmann, K.2
-
17
-
-
84902138900
-
Learning vector quantization for multimodal data
-
J. R. Dorronsoro (ed.), Springer
-
Hammer, B. Strickert, M. and Villmann, T.: Learning vector quantization for multimodal data. In: J. R. Dorronsoro (ed.), Artificial Neural Networks - ICANN 2002, Springer, (2002), 370-375.
-
(2002)
Artificial Neural Networks - ICANN 2002
, pp. 370-375
-
-
Hammer, B.1
Strickert, M.2
Villmann, T.3
-
18
-
-
12144271606
-
Batch-RLVQ
-
M.Verleysen (ed.), D-side publications
-
Hammer, B. and Villmann, T.: Batch-RLVQ. In: M.Verleysen (ed.), European Symposium on Artificial Neural Networks'2002, D-side publications, (2002), 295-300.
-
(2002)
European Symposium on Artificial Neural Networks'2002
, pp. 295-300
-
-
Hammer, B.1
Villmann, T.2
-
19
-
-
0036791938
-
Generalized relevance learning vector quantization
-
Hammer, B. and Villmann, T. Generalized relevance learning vector quantization. Neural Networks 15 (2002), 1059-1068,.
-
(2002)
Neural Networks
, vol.15
, pp. 1059-1068
-
-
Hammer, B.1
Villmann, T.2
-
20
-
-
0004019973
-
-
Technical Report UCSC-CRL-99-10, Computer Science Department, University of California at Santa Cruz
-
Haussler, D.: Convolutional kernels for dicrete structures. Technical Report UCSC-CRL-99-10, Computer Science Department, University of California at Santa Cruz, 1999.
-
(1999)
Convolutional Kernels for Dicrete Structures
-
-
Haussler, D.1
-
21
-
-
0002059002
-
Energy functions for self-organizing maps
-
E. Oja and S. Kaski, (eds), Springer
-
Heskes, T.: Energy functions for self-organizing maps, In: E. Oja and S. Kaski, (eds), Kohonen Maps, (1999) 303-315 Springer.
-
(1999)
Kohonen Maps
, pp. 303-315
-
-
Heskes, T.1
-
22
-
-
0035506768
-
On self-organizing maps, vector quantization, and mixture modeling
-
Heskes, T.: On self-organizing maps, vector quantization, and mixture modeling, IEEE Transactions on Neural Networks, 12(6) (2001), 1299-1305.
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, Issue.6
, pp. 1299-1305
-
-
Heskes, T.1
-
23
-
-
0034048878
-
A discrimitive framework for detecting remote protein homologies
-
Jaakkola, T. Diekhans, M. and Haussler, D.: A discrimitive framework for detecting remote protein homologies, Journal of Computational Biology 7(1-2) (2000), 95-114.
-
(2000)
Journal of Computational Biology
, vol.7
, Issue.1-2
, pp. 95-114
-
-
Jaakkola, T.1
Diekhans, M.2
Haussler, D.3
-
24
-
-
0026982122
-
Discriminative learning for minimum error classifications
-
Juang, B. H. and Katagiri, S.: Discriminative learning for minimum error classifications, IEEE Transactions on Signal Processing 40(12) (1992), 3043-3054.
-
(1992)
IEEE Transactions on Signal Processing
, vol.40
, Issue.12
, pp. 3043-3054
-
-
Juang, B.H.1
Katagiri, S.2
-
25
-
-
12144266830
-
A topography-preserving latent variable model with learning metrics
-
N. Allinson, H. Yin, L. Allinson, & J. Slack (eds.), Springer
-
Kaski, S. and Sinkkonen, J. A topography-preserving latent variable model with learning metrics. In: N. Allinson, H. Yin, L. Allinson, & J. Slack (eds.), Advances in Self-Organizing Maps, (2001), 224-229, Springer.
-
(2001)
Advances in Self-Organizing Maps
, pp. 224-229
-
-
Kaski, S.1
Sinkkonen, J.2
-
26
-
-
0035392549
-
Bankruptcy analysis with self-organizing maps in learning metrics
-
Kaski, S.: Bankruptcy analysis with self-organizing maps in learning metrics, IEEE Transactions on Neural Networks, 12 (2001), 936-947.
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, pp. 936-947
-
-
Kaski, S.1
-
29
-
-
0027632248
-
'Neural-gas' network for vector quantization and its application to time-series prediction
-
Martinetz, T., Berkovich, S. and Schulten, K.: 'Neural-gas' network for vector quantization and its application to time-series prediction, IEEE TNN 4(4) (1993), 558-569.
-
(1993)
IEEE TNN
, vol.4
, Issue.4
, pp. 558-569
-
-
Martinetz, T.1
Berkovich, S.2
Schulten, K.3
-
31
-
-
0034815902
-
The enhanced LBG algorithm
-
Patané, G. and Russo, M.: The enhanced LBG algorithm, Neural Networks 14 (2001), 1219-1237.
-
(2001)
Neural Networks
, vol.14
, pp. 1219-1237
-
-
Patané, G.1
Russo, M.2
-
32
-
-
0030152722
-
Automated feature selection with distinction sensitive learning vector quantization
-
Pregenzer, M.: Pfurtscheller, G. and Flotzinger, D.: Automated feature selection with distinction sensitive learning vector quantization, Neurocomputing 11 (1996), 19-29.
-
(1996)
Neurocomputing
, vol.11
, pp. 19-29
-
-
Pregenzer, M.1
Pfurtscheller, G.2
Flotzinger, D.3
-
34
-
-
85156210800
-
Generalized learning vector quantization
-
G. Tesauro, D. Touretzky, & T. Leen, (eds.), MIT Press
-
Sato, A. S. and Yamada, K.: Generalized learning vector quantization. In: G. Tesauro, D. Touretzky, & T. Leen, (eds.), Advances in Neural Information Processing Systems, 7, (1995), 423-129. MIT Press.
-
(1995)
Advances in Neural Information Processing Systems
, vol.7
, pp. 423-1129
-
-
Sato, A.S.1
Yamada, K.2
-
35
-
-
21244466956
-
An analysis of convergence in generalized LVQ
-
L. Niklasson, M. Bodén, & T. Ziemke (eds.), Springer
-
Sato, A. S. and Yamada, K.: An analysis of convergence in generalized LVQ. In: L. Niklasson, M. Bodén, & T. Ziemke (eds.), ICANN'98, (1998), 172-176. Springer.
-
(1998)
ICANN'98
, pp. 172-176
-
-
Sato, A.S.1
Yamada, K.2
-
36
-
-
0011921589
-
-
Technical Report MSR-TR-2000-51. Microsoft Research, Redmond, WA
-
Schölkopf, B.: The kernel trick for distances. Technical Report MSR-TR-2000-51. Microsoft Research, Redmond, WA, 2000.
-
(2000)
The Kernel Trick for Distances
-
-
Schölkopf, B.1
-
38
-
-
0038159964
-
Soft learning vector quantization
-
Seo, S. and Obermayer, K.: Soft learning vector quantization. Neural Computation, 15 (2003), 1589-1604.
-
(2003)
Neural Computation
, vol.15
, pp. 1589-1604
-
-
Seo, S.1
Obermayer, K.2
-
39
-
-
84902191627
-
New methods for splice site recognition
-
J. R. Dorronsoro (ed.), Springer.
-
Sonnenburg, S., Rätsch, G., Jagota, A. and Müller, K.-R.: New methods for splice site recognition. In: J. R. Dorronsoro (ed.), ICANN'2002, (2002), 329-336, Springer.
-
(2002)
ICANN'2002
, pp. 329-336
-
-
Sonnenburg, S.1
Rätsch, G.2
Jagota, A.3
Müller, K.-R.4
-
40
-
-
0010786475
-
On the influence of the kernel on the consistency of support vector machines
-
Steinwart, I.: On the influence of the kernel on the consistency of support vector machines, Journal of Machine Learning Research, 2 (2001), 67-93.
-
(2001)
Journal of Machine Learning Research
, vol.2
, pp. 67-93
-
-
Steinwart, I.1
-
41
-
-
84947812238
-
Generalized relevance LVQ for time series
-
G. Dorffner, H. Bischof, K. Hornik (eds.), Springer
-
Strickert, M. Bojer, T. and Hammer, B. Generalized relevance LVQ for time series. In: G. Dorffner, H. Bischof, K. Hornik (eds.), Artificial Neural Networks - ICANN'2001, 2001 Springer, 677-683.
-
(2001)
Artificial Neural Networks - ICANN'2001
, pp. 677-683
-
-
Strickert, M.1
Bojer, T.2
Hammer, B.3
-
42
-
-
0031097231
-
Toplogy preservation in self-organizing feature maps: Exact definition and precise measurement
-
Villmann, T., Der, R., Herrmann, M. and Martinetz, T. M.: Toplogy preservation in self-organizing feature maps: exact definition and precise measurement, IEEE TNN, 8(2) (1997), 256-266.
-
(1997)
IEEE TNN
, vol.8
, Issue.2
, pp. 256-266
-
-
Villmann, T.1
Der, R.2
Herrmann, M.3
Martinetz, T.M.4
-
43
-
-
0037379640
-
Neural maps in remote sensing image analysis
-
Villmann, T., Merenyi, E. and Hammer, B.: Neural maps in remote sensing image analysis, Neural Networks, 16(3-4): (2003), 389-403.
-
(2003)
Neural Networks
, vol.16
, Issue.3-4
, pp. 389-403
-
-
Villmann, T.1
Merenyi, E.2
Hammer, B.3
-
44
-
-
0036469527
-
A greedy algorithm for Gaussian mixture learning
-
Vlassis, N. and Likas, A.: A greedy algorithm for Gaussian mixture learning, Neural Processing Letters 15(1) (2002), 77-87.
-
(2002)
Neural Processing Letters
, vol.15
, Issue.1
, pp. 77-87
-
-
Vlassis, N.1
Likas, A.2
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