-
1
-
-
0003408496
-
-
University of California, Department of Information and Computer Science
-
C.L. Bluke, C.J. Merz, UCI Repository of machine learning databases, www.ics.uci.edu/~mlearn/MLRepository.html.Irvine. University of California, Department of Information and Computer Science, 1998.
-
(1998)
UCI Repository of machine learning databases
-
-
Bluke, C.L.1
Merz, C.J.2
-
2
-
-
0003619255
-
Bias, variance, and urcing classifiers
-
Technical Report 460, Statistics Department, University of California
-
L. Breiman, "Bias, variance, and urcing classifiers", in: Technical Report 460, Statistics Department, University of California, 1997.
-
(1997)
-
-
Breiman, L.1
-
3
-
-
84963133436
-
Rough fuzzy sets and fuzzy rough sets
-
D. Dubois, H. Prade, "Rough fuzzy sets and fuzzy rough sets", Internat. J. General Systems 17(2-3), pp. 191-209, 1990.
-
(1990)
Internat. J. General Systems
, vol.17
, Issue.2-3
, pp. 191-209
-
-
Dubois, D.1
Prade, H.2
-
4
-
-
0002588839
-
Putting rough sets and fuzzy sets together
-
R. Słowinski ed, Kluwer Dordrecht, pp
-
D. Dubois, H. Prude, "Putting rough sets and fuzzy sets together", R. Słowinski (ed.) Intelligent Decision Support: Handbook of Applications and Advences of the Rough Sets Theory. Kluwer Dordrecht, pp. 203-232, 1992.
-
(1992)
Intelligent Decision Support: Handbook of Applications and Advences of the Rough Sets Theory
, pp. 203-232
-
-
Dubois, D.1
Prude, H.2
-
6
-
-
0003753097
-
-
Prentice Hall, Upper Suddle River
-
R. J.-S. Jung. C-T. Sun, E. Mizutani, Neuro-Fuzzy and Soft Computing, A Computational Approach to Learning and Machine Intelligence, Prentice Hall, Upper Suddle River 1997.
-
(1997)
Neuro-Fuzzy and Soft Computing, A Computational Approach to Learning and Machine Intelligence
-
-
Jung, R.J.-S.1
Sun, C.-T.2
Mizutani, E.3
-
7
-
-
44949271432
-
On fuzzy implication
-
J. C. Fodor, "On fuzzy implication," Fuzzy Sets and Systems, vol. 42, pp. 293-300, 1991.
-
(1991)
Fuzzy Sets and Systems
, vol.42
, pp. 293-300
-
-
Fodor, J.C.1
-
8
-
-
40649084372
-
On Combining Backpropagation with Boosting
-
Vancouver, BC, Cunada
-
M. Korytkowski, L. Rutkowski, R. Scherer, "On Combining Backpropagation with Boosting", Proc. 2006 International Joint Conference on Neural Networks; IEEE World Congress on Computational Intelligence, Vancouver, BC, Cunada, 2006.
-
(2006)
Proc. 2006 International Joint Conference on Neural Networks; IEEE World Congress on Computational Intelligence
-
-
Korytkowski, M.1
Rutkowski, L.2
Scherer, R.3
-
11
-
-
35248862907
-
An Introduction to Boosting and Leveraging
-
Advanced Lectures on Machine Learning, Springer
-
R. Meir, G. Ratsch, "An Introduction to Boosting and Leveraging", Advanced Lectures on Machine Learning, LNAI 2600, Springer 2003.
-
(2003)
LNAI
, vol.2600
-
-
Meir, R.1
Ratsch, G.2
-
12
-
-
0003909358
-
-
Chichester, U.K, John Wiley
-
D. Nauck, F. Klawon, R. Kruse, Foundations of Neuro-Fuzzy Systems, Chichester, U.K., John Wiley, 1997.
-
(1997)
Foundations of Neuro-Fuzzy Systems
-
-
Nauck, D.1
Klawon, F.2
Kruse, R.3
-
13
-
-
9444225977
-
Rough Sets in the Neuro-Fuzzy Architectures Bused on Monotonic Fuzzy Implications
-
L. Rutkowski, J. Siekmann, R. Tadeusiewicz, L. A. Zadeh Eds, Springer-Verlag Berlin Heidelberg, pp
-
R. Nowicki, "Rough Sets in the Neuro-Fuzzy Architectures Bused on Monotonic Fuzzy Implications". Lecture Notes in Artificial Intelligence 3070, Artificial Intelligence and Soft Computing - ICAISC 2004, L. Rutkowski, J. Siekmann, R. Tadeusiewicz, L. A. Zadeh (Eds.), Springer-Verlag Berlin Heidelberg, pp. 510-517, 2004.
-
(2004)
Lecture Notes in Artificial Intelligence 3070, Artificial Intelligence and Soft Computing - ICAISC 2004
, pp. 510-517
-
-
Nowicki, R.1
-
14
-
-
34250700407
-
Rough-Neuro-Fuzzy System with MICOG Defuzzification
-
Vancouver, BC, Canada
-
R. Nowicki, "Rough-Neuro-Fuzzy System with MICOG Defuzzification", Proc. 2006 IEEE International Conference on Fuzzy Systems; IEEE World Congress on Computational Intelligence, Vancouver, BC, Canada, 2006, pp. 9090-9097.
-
(2006)
Proc. 2006 IEEE International Conference on Fuzzy Systems; IEEE World Congress on Computational Intelligence
, pp. 9090-9097
-
-
Nowicki, R.1
-
15
-
-
27744565978
-
Rough sets
-
Z. Pawlak, "Rough sets", International Journal of Information and Computer Science, Vol. 11, No. 341, 1982, pp. 341-356.
-
(1982)
International Journal of Information and Computer Science
, vol.11
, Issue.341
, pp. 341-356
-
-
Pawlak, Z.1
-
17
-
-
0036027401
-
Rough sets, decision algorithms and Bayes' theorem
-
Z. Pawlak, "Rough sets, decision algorithms and Bayes' theorem", European Journal of Operational Research 136, 2002, pp. 181-189.
-
(2002)
European Journal of Operational Research
, vol.136
, pp. 181-189
-
-
Pawlak, Z.1
-
18
-
-
0003546556
-
-
Physicu-Verlag, A Springer-Verlag Company, Heidelberg, New York
-
L. Polkowski, Rough Sets. Mathematical Foundation Physicu-Verlag, A Springer-Verlag Company, Heidelberg, New York 2002.
-
(2002)
Rough Sets. Mathematical Foundation
-
-
Polkowski, L.1
-
19
-
-
55249126906
-
-
D. Rutkowska, R. Nowicki, Implication - based neuro-fuzzy architectures International, Journal of Applied Mathematics and Computer Science (4), pp. 675-701,2000.
-
D. Rutkowska, R. Nowicki, "Implication - based neuro-fuzzy architectures International", Journal of Applied Mathematics and Computer Science (4), pp. 675-701,2000.
-
-
-
-
21
-
-
0037507277
-
Flexible Neuro-Fuzzy Systems
-
May
-
L. Rutkowski, K. Cpałku, "Flexible Neuro-Fuzzy Systems", IEEE Trans. Neural Networks, Volume 14, Issue 3, May 2003 pp. 554-574.
-
(2003)
IEEE Trans. Neural Networks
, vol.14
, Issue.3
, pp. 554-574
-
-
Rutkowski, L.1
Cpałku, K.2
-
22
-
-
14644433722
-
Designing and Learning of Adjustable Quasi-Triangular Norms With Applications to Neuro-Fuzzy Systems
-
February, pp
-
L. Rutkowski, K. Cpatka, "Designing and Learning of Adjustable Quasi-Triangular Norms With Applications to Neuro-Fuzzy Systems", IEEE Trans. Fuzzy Systems, vol.13, no. 1, February, pp. 140-151, 2005.
-
(2005)
IEEE Trans. Fuzzy Systems
, vol.13
, Issue.1
, pp. 140-151
-
-
Rutkowski, L.1
Cpatka, K.2
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