-
1
-
-
0008165408
-
A self-generating method of fuzzy inference rules
-
S. Araki, H. Nomura, I. Hayashi, A self-generating method of fuzzy inference rules, Proc. IFES'91, 1991, pp. 1047-1058.
-
(1991)
Proc. IFES'91
, pp. 1047-1058
-
-
Araki, S.1
Nomura, H.2
Hayashi, I.3
-
2
-
-
85031284402
-
Learning of uncertain classification rules in medical diagnosis. Symbolic and quantitative approaches to uncertainty
-
R. Kruse, P. Siegel (Eds.), Springer, Heidelberg
-
E. Binaghi, Learning of uncertain classification rules in medical diagnosis. Symbolic and quantitative approaches to uncertainty, in: R. Kruse, P. Siegel (Eds.), Lecture Notes in Computer Science 548, Springer, Heidelberg, 1991, pp. 115-119.
-
(1991)
Lecture Notes in Computer Science
, vol.548
, pp. 115-119
-
-
Binaghi, E.1
-
3
-
-
0003802343
-
-
Belmont, California, Wadsworth
-
L. Breiman, J.H. Friedman, R.A. Olshen, C.J. Stone, Classification and Regression Trees, Belmont, California, Wadsworth, 1984.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, C.J.4
-
4
-
-
38248998618
-
Learning rules for a fuzzy inference model
-
L.M. Campos, S. de Moral, Learning rules for a fuzzy inference model, Fuzzy Sets and Systems 59 (1993) 247-257.
-
(1993)
Fuzzy Sets and Systems
, vol.59
, pp. 247-257
-
-
Campos, L.M.1
De Moral, S.2
-
7
-
-
0000624545
-
An inductive learning algorithm in fuzzy systems
-
J.L. Castro, J.M. Zurita, An Inductive Learning Algorithm in Fuzzy Systems. Fuzzy Sets and Systems 89 (1997) 193-204.
-
(1997)
Fuzzy Sets and Systems
, vol.89
, pp. 193-204
-
-
Castro, J.L.1
Zurita, J.M.2
-
8
-
-
0001929348
-
A knowledge elicitation tool for sophisticated users
-
I. Bratko, N. Lavrac (Eds.), Sigma Press, Wilmslow
-
B. Cestnik, I. Kononenko, I. Bratko, Assistant 86: A knowledge elicitation tool for sophisticated users, in: I. Bratko, N. Lavrac (Eds.), Progress in Machine Learning, Sigma Press, Wilmslow, 1987, pp. 31-45.
-
(1987)
Progress in Machine Learning
, pp. 31-45
-
-
Cestnik, B.1
Kononenko, I.2
Bratko, I.3
-
9
-
-
0000731222
-
An inductive learning procedure to identify fuzzy systems
-
M. Delgado, A. González, An inductive learning procedure to identify fuzzy systems, Fuzzy Sets and Systems 55 (1993) 121-132.
-
(1993)
Fuzzy Sets and Systems
, vol.55
, pp. 121-132
-
-
Delgado, M.1
González, A.2
-
10
-
-
0039295619
-
Automatic learning of fuzzy naming relations over finite languages
-
R. De Mori, L. Saitta, Automatic learning of fuzzy naming relations over finite languages. Inform. Sci. 21 (1980) 93-139.
-
(1980)
Inform. Sci.
, vol.21
, pp. 93-139
-
-
De Mori, R.1
Saitta, L.2
-
11
-
-
0000764772
-
The use of multiple measurements in taxonomic problems
-
R.A. Fisher, The use of multiple measurements in taxonomic problems, Ann. Eugenics 7(2) (1936) 179-188.
-
(1936)
Ann. Eugenics
, vol.7
, Issue.2
, pp. 179-188
-
-
Fisher, R.A.1
-
12
-
-
0029293380
-
A learning methodology in uncertain and imprecise environments
-
A. González, A learning methodology in uncertain and imprecise environments, International J. Intelligence Systems 10 (1995) 357-371.
-
(1995)
International J. Intelligence Systems
, vol.10
, pp. 357-371
-
-
González, A.1
-
13
-
-
0027187341
-
Uncertain reasoning in an ID3 machine learning framework
-
P.E. Maher, D.S. Clair, Uncertain reasoning in an ID3 machine learning framework, Proc. Fuzzy IEEE'93, 1993, pp. 7-12.
-
(1993)
Proc. Fuzzy IEEE'93
, pp. 7-12
-
-
Maher, P.E.1
Clair, D.S.2
-
14
-
-
0003046840
-
A theory and methodology of inductive reasoning
-
Morgan Kaufman, Los Altos, CA
-
R.S. Michalski, A theory and methodology of inductive reasoning, in: Machine Learning: An Artificial Intelligence Approach, vol. 1, Morgan Kaufman, Los Altos, CA, 1983, pp. 83-134.
-
(1983)
Machine Learning: An Artificial Intelligence Approach
, vol.1
, pp. 83-134
-
-
Michalski, R.S.1
-
15
-
-
0000531852
-
Generalization as search
-
T.M. Mitchell, Generalization as search, Artificial Intelligence 18(2) (1982) 203-226.
-
(1982)
Artificial Intelligence
, vol.18
, Issue.2
, pp. 203-226
-
-
Mitchell, T.M.1
-
16
-
-
0040480500
-
A learning method of fuzzy inference rules with neural networks and its applications
-
M. Mukaidono, M. Yamaoka, A learning method of fuzzy inference rules with neural networks and its applications, Proc. Izuka'92, 1992, pp. 185-187.
-
(1992)
Proc. Izuka'92
, pp. 185-187
-
-
Mukaidono, M.1
Yamaoka, M.2
-
17
-
-
33744584654
-
Induction of decision trees
-
J.R. Quinlan, Induction of decision trees, Mach. Learning 1(1) (1986) 81-106.
-
(1986)
Mach. Learning
, vol.1
, Issue.1
, pp. 81-106
-
-
Quinlan, J.R.1
-
18
-
-
0024111497
-
Using the ADAP learning algorithm to forecast the onset of diabetes mellitus
-
IEEE Computer Soc. Press
-
J.W. Smith, J.E. Everhart, W.C. Dickson, W.C. Knowler, R.S. Johannes, Using the ADAP learning algorithm to forecast the onset of diabetes mellitus. Proc. Symp. Computer Applications and Medical Care, IEEE Computer Soc. Press, 1988, pp. 261-265.
-
(1988)
Proc. Symp. Computer Applications and Medical Care
, pp. 261-265
-
-
Smith, J.W.1
Everhart, J.E.2
Dickson, W.C.3
Knowler, W.C.4
Johannes, R.S.5
-
19
-
-
0000185305
-
Successive identification of a fuzzy model and its applications to prediction of a complex system
-
M. Sugeno, K. Tanaka, Successive identification of a fuzzy model and its applications to prediction of a complex system, Fuzzy Sets and Systems 42 (1991) 315-334.
-
(1991)
Fuzzy Sets and Systems
, vol.42
, pp. 315-334
-
-
Sugeno, M.1
Tanaka, K.2
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