-
1
-
-
0025889915
-
ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network
-
Tech. Rep. CAS/CNS-TR-91-001. Boston, MA: Boston University. Reprinted in [3]
-
G.A. Carpenter, S. Grossberg, and J.H. Reynolds, “ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network,” Neural Networks, vol. 4, pp. 565–588, 1991. Tech. Rep. CAS/CNS-TR-91-001. Boston, MA: Boston University. Reprinted in [3].
-
(1991)
Neural Networks
, vol.4
, pp. 565-588
-
-
Carpenter, G.A.1
Grossberg, S.2
Reynolds, J.H.3
-
2
-
-
0021776661
-
A massively parallel architecture for a self-organizing neural pattern recognition machine
-
Reprinted in [3]
-
G. A. Carpenter, S. Grossberg, “A massively parallel architecture for a self-organizing neural pattern recognition machine,” Computer Vision, Graphics, and Image Processing, vol. 37, pp. 54–115, 1987. Reprinted in [3].
-
(1987)
Computer Vision, Graphics, and Image Processing
, vol.37
, pp. 54-115
-
-
Carpenter, G.A.1
Grossberg, S.2
-
4
-
-
0026634509
-
Fuzzy ART: An adaptive resonance algorithm for rapid, stable classification of analog patterns
-
G.A. Carpenter, S. Grossberg, D. B. Rosen, “Fuzzy ART: An adaptive resonance algorithm for rapid, stable classification of analog patterns,” in Proc. Int. Joint Conf. Neural Networks, vol. II, 411–420.
-
Proc. Int. Joint Conf. Neural Networks
, vol.2
, pp. 411-420
-
-
Carpenter, G.A.1
Grossberg, S.2
Rosen, D.B.3
-
5
-
-
0026408256
-
Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system
-
Tech. Rep. CAS/CNS-TR-91-015. Boston, MA: Boston University
-
G.A. Carpenter, S. Grossberg, and D.B. Rosen “Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system,” Neural Networks, vol. 4, pp. 759–771, 1991. Tech. Rep. CAS/CNS-TR-91-015. Boston, MA: Boston University.
-
(1991)
Neural Networks
, vol.4
, pp. 759-771
-
-
Carpenter, G.A.1
Grossberg, S.2
Rosen, D.B.3
-
6
-
-
0022982937
-
Fuzzy entropy and conditioning
-
B. Kosko, “Fuzzy entropy and conditioning,” Inform. Sci., vol. 40, pp. 165–174, 1986.
-
(1986)
Inform. Sci.
, vol.40
, pp. 165-174
-
-
Kosko, B.1
-
7
-
-
34248666540
-
Fuzzy sets
-
L. Zadeh, “Fuzzy sets,” Inform. Contr., vol. 8, pp. 338–353, 1965.
-
(1965)
Inform. Contr.
, vol.8
, pp. 338-353
-
-
Zadeh, L.1
-
10
-
-
0041966747
-
A neural network realization of fuzzy ART
-
CAS/CNS-TR-91-021. Boston, MA: Boston University
-
G.A. Carpenter, S. Grossberg, and D. B. Rosen, “A neural network realization of fuzzy ART,” Tech. Rep. CAS/CNS-TR-91-021. Boston, MA: Boston University, 1991.
-
(1991)
Tech. Rep
-
-
Carpenter, G.A.1
Grossberg, S.2
Rosen, D.B.3
-
11
-
-
0012149696
-
Learning with nested generalized exemplars
-
Cambridge, MA
-
S. L. Salzberg, “Learning with nested generalized exemplars,” Ph.D. (Technical Report TR-14-89), Department of Computer Science, Harvard University, Cambridge, MA, 1989.
-
(1989)
Ph.D. (Technical Report TR-14-89), Department of Computer Science, Harvard University
-
-
Salzberg, S.L.1
-
13
-
-
0026156490
-
A nearest hyperrectangle learning method
-
S. L. Salzberg, “A nearest hyperrectangle learning method,” Machine Learning, vol. 6, pp. 251–276, 1991.
-
(1991)
Machine Learning
, vol.6
, pp. 251-276
-
-
Salzberg, S.L.1
-
14
-
-
48349145734
-
Fuzzy min-max classification with neural networks
-
P. Simpson, “Fuzzy min-max classification with neural networks,” Heuristics: J; Knowledge Eng., vol. 4, pp. 1–9, 1991.
-
(1991)
Heuristics: J; Knowledge Eng.
, vol.4
, pp. 1-9
-
-
Simpson, P.1
-
15
-
-
0003293268
-
Analysis of neural network issues: Scaling, enhanced nodal processing, comparison with standard classification
-
Oct.
-
G. Wilensky, “Analysis of neural network issues: Scaling, enhanced nodal processing, comparison with standard classification,” DARPA Neural Network Program Review, Oct. 29–30, 1990.
-
(1990)
DARPA Neural Network Program Review
, pp. 29-30
-
-
Wilensky, G.1
-
17
-
-
0026120634
-
Letter recognition using Holland-style adaptive classifiers
-
P. W. Frey, and D. J. Slate, “Letter recognition using Holland-style adaptive classifiers,” Machine Learning, vol. 6, pp. 161–182, 1991.
-
(1991)
Machine Learning
, vol.6
, pp. 161-182
-
-
Frey, P.W.1
Slate, D.J.2
-
19
-
-
0019060894
-
Adaptive algorithms for discovering and using general patterns in growing knowledge bases
-
J. H. Holland, “Adaptive algorithms for discovering and using general patterns in growing knowledge bases,” Int. J. Policy Analysis and Information Systems, vol. 4, pp. 217–240, 1980.
-
(1980)
Int. J. Policy Analysis and Information Systems
, vol.4
, pp. 217-240
-
-
Holland, J.H.1
-
20
-
-
0000746883
-
Escaping brittleness: The possibilities of general purpose machine learning algorithms applied to parallel rule-based systems
-
San Mateo, CA: Morgan Kaufmann
-
J. H. Holland, “Escaping brittleness: The possibilities of general purpose machine learning algorithms applied to parallel rule-based systems,” in Machine Learning: An Artificial Intelligence Approach, R. S. Michalski, J. G. Carbonell and T. M. Mitchell, Eds., vol. II. San Mateo, CA: Morgan Kaufmann, 1986.
-
(1986)
Machine Learning: An Artificial Intelligence Approach
, vol.2
-
-
Holland, J.H.1
-
22
-
-
0000646059
-
Learning internal representations by error propagation
-
D. E. Rumelhart and J. L. McClelland, Eds. Cambridge, MA: MIT Press
-
D. E. Rumelhart, G. Hinton, and R. Williams, “Learning internal representations by error propagation,” in Parallel Distributed Processing. D. E. Rumelhart and J. L. McClelland, Eds. Cambridge, MA: MIT Press, 1986.
-
(1986)
Parallel Distributed Processing
-
-
Rumelhart, D.E.1
Hinton, G.2
Williams, R.3
-
23
-
-
0003000735
-
Faster-learning variations on backpropagation: An empirical study
-
S. E. Fahlman, “Faster-learning variations on backpropagation: An empirical study,” in Proc. 1988 Connectionist Models Summer School, 1989, pp. 38–51.
-
(1988)
Proc. 1988 Connectionist Models Summer School
, pp. 38-51
-
-
Fahlman, S.E.1
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