-
3
-
-
0001224048
-
Sparse bayesian learning and the relevance vector machine
-
Tipping ME (2001) Sparse bayesian learning and the relevance vector machine. J Mach Learn Res 1: 211-244.
-
(2001)
J Mach Learn Res
, vol.1
, pp. 211-244
-
-
Tipping, M.E.1
-
5
-
-
77954953206
-
Explanation and reliability of prediction models: the case of breast cancer recurrence
-
Strumbelj E, Bosnic Z, Kononenko I, Zakotnik B, Kuhar CG (2010) Explanation and reliability of prediction models: the case of breast cancer recurrence. Knowl Inf Syst 24(2): 305-324.
-
(2010)
Knowl Inf Syst
, vol.24
, Issue.2
, pp. 305-324
-
-
Strumbelj, E.1
Bosnic, Z.2
Kononenko, I.3
Zakotnik, B.4
Kuhar, C.G.5
-
7
-
-
0042591522
-
A complete fuzzy decision tree technique
-
Olaru C, Wehenkel L (2003) A complete fuzzy decision tree technique. Fuzzy Sets Syst 138: 221-254.
-
(2003)
Fuzzy Sets Syst
, vol.138
, pp. 221-254
-
-
Olaru, C.1
Wehenkel, L.2
-
8
-
-
0027601884
-
Anfis: adaptive-network-based fuzzy inference system
-
Jang JR (1993) anfis: adaptive-network-based fuzzy inference system. IEEE Trans Syst Man Cybern 23: 665-685.
-
(1993)
IEEE Trans Syst Man Cybern
, vol.23
, pp. 665-685
-
-
Jang, J.R.1
-
9
-
-
0026923589
-
Fuzzy artmap: a neural network architecture for incremental supervised learning of analog multidimensional maps
-
Carpenter GA, Grossberg S, Markuzon N, Reynolds JH, Rosen DB (1992) Fuzzy artmap: a neural network architecture for incremental supervised learning of analog multidimensional maps. IEEE Trans Neural Netw 3(5): 698-713.
-
(1992)
IEEE Trans Neural Netw
, vol.3
, Issue.5
, pp. 698-713
-
-
Carpenter, G.A.1
Grossberg, S.2
Markuzon, N.3
Reynolds, J.H.4
Rosen, D.B.5
-
10
-
-
0026927202
-
Fuzzy min-max neural networks-part 1: classification
-
Simpson KP (1992) Fuzzy min-max neural networks-part 1: classification. IEEE Trans Neural Netw 3(5): 776-786.
-
(1992)
IEEE Trans Neural Netw
, vol.3
, Issue.5
, pp. 776-786
-
-
Simpson, K.P.1
-
11
-
-
0029242750
-
A method for fuzzy rules extraction directly from numerical data and its application to parten classification
-
Abe S, Lan MS (1995) A method for fuzzy rules extraction directly from numerical data and its application to parten classification. IEEE Trans Fuzzy Syst 3(1): 18-28.
-
(1995)
IEEE Trans Fuzzy Syst
, vol.3
, Issue.1
, pp. 18-28
-
-
Abe, S.1
Lan, M.S.2
-
12
-
-
0025198791
-
Fuzzy sets in pattern recognition: methodology and methods
-
Pedrycz W (1990) Fuzzy sets in pattern recognition: methodology and methods. Pattern Recognit 23(1-2): 121-146.
-
(1990)
Pattern Recognit
, vol.23
, Issue.1-2
, pp. 121-146
-
-
Pedrycz, W.1
-
13
-
-
77953915351
-
Fuzzy entropy based optimization of clusters for the segmentation of lungs in ct scanned images
-
Jaffar MA, Hussain A, Mirza AM (2010) Fuzzy entropy based optimization of clusters for the segmentation of lungs in ct scanned images. Knowl Inf Syst 24(1): 91-111.
-
(2010)
Knowl Inf Syst
, vol.24
, Issue.1
, pp. 91-111
-
-
Jaffar, M.A.1
Hussain, A.2
Mirza, A.M.3
-
14
-
-
70350521692
-
Data mining of vector-item patterns using neighborhood histograms
-
Denton AM, Wu J (2009) Data mining of vector-item patterns using neighborhood histograms. Knowl Inf Syst 21: 173-199.
-
(2009)
Knowl Inf Syst
, vol.21
, pp. 173-199
-
-
Denton, A.M.1
Wu, J.2
-
15
-
-
0021892282
-
Fuzzy identification of systems and its applications to modeling and control
-
Takagi T, Sugeno M (1985) Fuzzy identification of systems and its applications to modeling and control. IEEE Trans Syst Man Cybern 15(1): 116-132.
-
(1985)
IEEE Trans Syst Man Cybern
, vol.15
, Issue.1
, pp. 116-132
-
-
Takagi, T.1
Sugeno, M.2
-
16
-
-
77957572578
-
Resource service optimal-selection based on intuitionistic fuzzy set and non-functionality qos in manufacturing grid system
-
doi: 10. 1007/s10115-009-0263-6
-
Tao F, Zhao D, Zhang L (2009) Resource service optimal-selection based on intuitionistic fuzzy set and non-functionality qos in manufacturing grid system. Knowl Inf Syst doi: 10. 1007/s10115-009-0263-6.
-
(2009)
Knowl Inf Syst
-
-
Tao, F.1
Zhao, D.2
Zhang, L.3
-
17
-
-
0031164649
-
Modeling and control of hierarchical systems with fuzzy systems
-
Wang LX (1997) Modeling and control of hierarchical systems with fuzzy systems. Automatica 33(6): 1041-1053.
-
(1997)
Automatica
, vol.33
, Issue.6
, pp. 1041-1053
-
-
Wang, L.X.1
-
21
-
-
0025489075
-
The self-organizing map
-
Kohonen T (1990) The self-organizing map. Proc IEEE 78(9): 1461-1480.
-
(1990)
Proc IEEE
, vol.78
, Issue.9
, pp. 1461-1480
-
-
Kohonen, T.1
-
22
-
-
0004683439
-
Construction of fuzzy models through clustering techniques
-
Yoshinari Y, Pedrycz W, Hirota K (1993) Construction of fuzzy models through clustering techniques. Fuzzy Sets Syst 54(2): 157-165.
-
(1993)
Fuzzy Sets Syst
, vol.54
, Issue.2
, pp. 157-165
-
-
Yoshinari, Y.1
Pedrycz, W.2
Hirota, K.3
-
23
-
-
0002834406
-
Self-organizing neural-network based fuzzy system
-
Wang Y, Rong GA (1999) self-organizing neural-network based fuzzy system. Fuzzy Sets Syst 103: 1-11.
-
(1999)
Fuzzy Sets Syst
, vol.103
, pp. 1-11
-
-
Wang, Y.1
Rong, G.A.2
-
24
-
-
0035481747
-
A systematic neuro-fuzzy modeling framework with application to material property prediction
-
Chen MY, Linkens DA (2001) A systematic neuro-fuzzy modeling framework with application to material property prediction. IEEE Trans Syst Man Cybern Part B 31(5): 781-790.
-
(2001)
IEEE Trans Syst Man Cybern Part B
, vol.31
, Issue.5
, pp. 781-790
-
-
Chen, M.Y.1
Linkens, D.A.2
-
26
-
-
34547681970
-
Fuzzy classifier design using genetic algorithms
-
Zhou E, Khotanzad A (2007) Fuzzy classifier design using genetic algorithms. Pattern Recognit 40(12): 3401-3414.
-
(2007)
Pattern Recognit
, vol.40
, Issue.12
, pp. 3401-3414
-
-
Zhou, E.1
Khotanzad, A.2
-
27
-
-
0031588795
-
Fuzzy inference neural network
-
Nishina T, Hagiwara M (1997) Fuzzy inference neural network. Neurocomputing 14: 223-239.
-
(1997)
Neurocomputing
, vol.14
, pp. 223-239
-
-
Nishina, T.1
Hagiwara, M.2
-
28
-
-
30344446393
-
Combining som and fuzzy rule base for flow time prediction in semiconductor manufacturing factory
-
Chang PC, Liao TW (2006) Combining som and fuzzy rule base for flow time prediction in semiconductor manufacturing factory. Appl Soft Comput 6: 198-206.
-
(2006)
Appl Soft Comput
, vol.6
, pp. 198-206
-
-
Chang, P.C.1
Liao, T.W.2
-
29
-
-
0035670764
-
Evolving fuzzy neural networks for supervised/unsupervised on-line, knowledge-based learning
-
Kasabov N (2001) Evolving fuzzy neural networks for supervised/unsupervised on-line, knowledge-based learning. IEEE Trans Syst Man Cybern 31(6): 902-918.
-
(2001)
IEEE Trans Syst Man Cybern
, vol.31
, Issue.6
, pp. 902-918
-
-
Kasabov, N.1
-
30
-
-
54449087782
-
Clustering and co-evolution to construct network ensembles: an experimental study
-
Minku FL, Ludermir TB (2008) Clustering and co-evolution to construct network ensembles: an experimental study. Neural Netw 21: 1363-1379.
-
(2008)
Neural Netw
, vol.21
, pp. 1363-1379
-
-
Minku, F.L.1
Ludermir, T.B.2
-
31
-
-
0036435523
-
Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization
-
Abonyi J, Roubos JA, Szeifert F (2003) Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization. Int J Approx Reason 32(1): 1-21.
-
(2003)
Int J Approx Reason
, vol.32
, Issue.1
, pp. 1-21
-
-
Abonyi, J.1
Roubos, J.A.2
Szeifert, F.3
-
32
-
-
0033728494
-
Hierarchical fuzzy partition for pattern classification with fuzzy if-then rules
-
Kbir MM, Benkirane H, Maalmi K, Benslimane R (2000) Hierarchical fuzzy partition for pattern classification with fuzzy if-then rules. Pattern Recognit Lett 21: 503-509.
-
(2000)
Pattern Recognit Lett
, vol.21
, pp. 503-509
-
-
Kbir, M.M.1
Benkirane, H.2
Maalmi, K.3
Benslimane, R.4
-
33
-
-
33846816451
-
Identification of interpretable and accurate fuzzy classifiers and function estimators with hybrid methods
-
Pulkkinen P, Koivisto H (2007) Identification of interpretable and accurate fuzzy classifiers and function estimators with hybrid methods. Appl Soft Comput 7: 433-520.
-
(2007)
Appl Soft Comput
, vol.7
, pp. 433-520
-
-
Pulkkinen, P.1
Koivisto, H.2
-
34
-
-
0036721934
-
Feature selection with neural networks
-
Verikas A, Bacauskiene M (2002) Feature selection with neural networks. Pattern Recognit Lett 23(11): 1323-1335.
-
(2002)
Pattern Recognit Lett
, vol.23
, Issue.11
, pp. 1323-1335
-
-
Verikas, A.1
Bacauskiene, M.2
-
35
-
-
0037361892
-
Learning fuzzy classification rules from labeled data
-
Roubos JA, Setnes M, Abonyi J (2003) Learning fuzzy classification rules from labeled data. Inf Sci 150: 77-93.
-
(2003)
Inf Sci
, vol.150
, pp. 77-93
-
-
Roubos, J.A.1
Setnes, M.2
Abonyi, J.3
-
36
-
-
0032960792
-
Obtaining interpretable fuzzy classification rules from medical data
-
Nauck D, Kruse R (1999) Obtaining interpretable fuzzy classification rules from medical data. Artif Intell Med 16(2): 149-169.
-
(1999)
Artif Intell Med
, vol.16
, Issue.2
, pp. 149-169
-
-
Nauck, D.1
Kruse, R.2
-
37
-
-
0000888528
-
A neural fuzzy system with linguistic teachnig signals
-
Lin CT, Lu YC (1995) A neural fuzzy system with linguistic teachnig signals. IEEE Trans Fuzzy Syst 3(2): 169-189.
-
(1995)
IEEE Trans Fuzzy Syst
, vol.3
, Issue.2
, pp. 169-189
-
-
Lin, C.T.1
Lu, Y.C.2
-
38
-
-
1942423173
-
Genso: a novel neural-fuzzy based early warning system for predicting bank failures
-
Tung WL, Quek C, Cheng P (2004) Genso: a novel neural-fuzzy based early warning system for predicting bank failures. Neural Netw 17: 567-587.
-
(2004)
Neural Netw
, vol.17
, pp. 567-587
-
-
Tung, W.L.1
Quek, C.2
Cheng, P.3
-
39
-
-
0030214780
-
Adaptive fuzzy rule-based classification systems
-
Nozaki K, Ishibuchi H, Tanaka H (1996) Adaptive fuzzy rule-based classification systems. IEEE Trans Fuzzy Syst 4(3): 238-250.
-
(1996)
IEEE Trans Fuzzy Syst
, vol.4
, Issue.3
, pp. 238-250
-
-
Nozaki, K.1
Ishibuchi, H.2
Tanaka, H.3
-
40
-
-
0032207749
-
Integrating fuzzy knowledge by genetic algorithms
-
Wang CH, Hong TP, Tseng SS (1998) Integrating fuzzy knowledge by genetic algorithms. IEEE Trans Evol Comput 2(4): 138-149.
-
(1998)
IEEE Trans Evol Comput
, vol.2
, Issue.4
, pp. 138-149
-
-
Wang, C.H.1
Hong, T.P.2
Tseng, S.S.3
-
41
-
-
34247636165
-
Genetic-fuzzy rule mining approach and evaluation of feature selection techniques for anomaly intrusion detection
-
Tsang CH, Kwong S, Wang H (2007) Genetic-fuzzy rule mining approach and evaluation of feature selection techniques for anomaly intrusion detection. Pattern Recognit 40(9): 2373-2391.
-
(2007)
Pattern Recognit
, vol.40
, Issue.9
, pp. 2373-2391
-
-
Tsang, C.H.1
Kwong, S.2
Wang, H.3
-
42
-
-
33750512162
-
Intrusion detection by integrating boosting genetic fuzzy classifier and data mining criteria for rule pre-screening
-
Ozyer T, Alhajj R, Barker K (2007) Intrusion detection by integrating boosting genetic fuzzy classifier and data mining criteria for rule pre-screening. J Netw Comput Appl 30(1): 99-113.
-
(2007)
J Netw Comput Appl
, vol.30
, Issue.1
, pp. 99-113
-
-
Ozyer, T.1
Alhajj, R.2
Barker, K.3
-
43
-
-
0347411204
-
Combining boosting and evolutionary algorithms for learning of fuzzy classification rules
-
Hoffmann F (2004) Combining boosting and evolutionary algorithms for learning of fuzzy classification rules. Fuzzy Sets Syst 141: 47-58.
-
(2004)
Fuzzy Sets Syst
, vol.141
, pp. 47-58
-
-
Hoffmann, F.1
-
44
-
-
0000582194
-
Integrating membership functions and fuzzy rule sets from multiple knowledge sources
-
Wang CH, Hong TP, Tseng SS (2000) Integrating membership functions and fuzzy rule sets from multiple knowledge sources. Fuzzy Sets Syst 112: 141-154.
-
(2000)
Fuzzy Sets Syst
, vol.112
, pp. 141-154
-
-
Wang, C.H.1
Hong, T.P.2
Tseng, S.S.3
-
45
-
-
56949090674
-
Automatic generation of fuzzy inference systems via unsupervised learning
-
Er MJ, Zhou Y (2008) Automatic generation of fuzzy inference systems via unsupervised learning. Neural Netw 21(10): 1556-1566.
-
(2008)
Neural Netw
, vol.21
, Issue.10
, pp. 1556-1566
-
-
Er, M.J.1
Zhou, Y.2
-
46
-
-
40549086646
-
Cluster-based evaluation in fuzzy-genetic data mining
-
Chen CH, Tseng VS, Hong TP (2008) Cluster-based evaluation in fuzzy-genetic data mining. IEEE Trans Fuzzy Syst 16(1): 249-262.
-
(2008)
IEEE Trans Fuzzy Syst
, vol.16
, Issue.1
, pp. 249-262
-
-
Chen, C.H.1
Tseng, V.S.2
Hong, T.P.3
-
47
-
-
33845212542
-
A weighted fuzzy classifier and its application to image processing tasks
-
Nakashima T, Schaefer G, Yokota Y, Ishibuchi H (2007) A weighted fuzzy classifier and its application to image processing tasks. Fuzzy Sets Syst 158: 284-294.
-
(2007)
Fuzzy Sets Syst
, vol.158
, pp. 284-294
-
-
Nakashima, T.1
Schaefer, G.2
Yokota, Y.3
Ishibuchi, H.4
-
48
-
-
33751186914
-
Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning
-
Ishibuchi H, Nojima Y (2007) Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning. Int J Approx Reason 44(1): 4-31.
-
(2007)
Int J Approx Reason
, vol.44
, Issue.1
, pp. 4-31
-
-
Ishibuchi, H.1
Nojima, Y.2
-
49
-
-
0035426682
-
Three-objective genetics-based machine learning for linguistic rule extraction
-
Ishibuchi H, Nakashima T, Murata T (2001) Three-objective genetics-based machine learning for linguistic rule extraction. Inf Sci 136: 109-133.
-
(2001)
Inf Sci
, vol.136
, pp. 109-133
-
-
Ishibuchi, H.1
Nakashima, T.2
Murata, T.3
-
50
-
-
0000719509
-
Voting in fuzzy rule-based systems for pattern classification problems
-
Ishibuchi H, Nakashima T, Morisawa T (1999) Voting in fuzzy rule-based systems for pattern classification problems. Fuzzy Sets Syst 103: 223-238.
-
(1999)
Fuzzy Sets Syst
, vol.103
, pp. 223-238
-
-
Ishibuchi, H.1
Nakashima, T.2
Morisawa, T.3
-
51
-
-
38649114684
-
Designing of classifiers based on immune principles and fuzzy rules
-
Lei Z, Ren-hou L (2008) Designing of classifiers based on immune principles and fuzzy rules. Inf Sci 178: 1836-1847.
-
(2008)
Inf Sci
, vol.178
, pp. 1836-1847
-
-
Lei, Z.1
Ren-Hou, L.2
-
52
-
-
38349177924
-
Data mining with a simulated annealing based fuzzy classification system
-
Mohamadi H, Habibi J, Abadeh MS, Saadi H (2008) Data mining with a simulated annealing based fuzzy classification system. Pattern Recognit 41(5): 1824-1833.
-
(2008)
Pattern Recognit
, vol.41
, Issue.5
, pp. 1824-1833
-
-
Mohamadi, H.1
Habibi, J.2
Abadeh, M.S.3
Saadi, H.4
-
53
-
-
0001920729
-
Similarity metric learning for a variable-kernel classifier
-
Lowe DG (1995) Similarity metric learning for a variable-kernel classifier. Neural Comput 7: 72-85.
-
(1995)
Neural Comput
, vol.7
, pp. 72-85
-
-
Lowe, D.G.1
-
54
-
-
0016127071
-
Finding prototypes for nearest neighbour classifiers
-
Chang CL (1974) Finding prototypes for nearest neighbour classifiers. IEEE Trans Comput 23: 1179-1184.
-
(1974)
IEEE Trans Comput
, vol.23
, pp. 1179-1184
-
-
Chang, C.L.1
-
55
-
-
0016969272
-
An experiment with the edited nearest-neighbour rule
-
Tomek I (1976) An experiment with the edited nearest-neighbour rule. IEEE Trans Syst Man Cybern 6: 448-452.
-
(1976)
IEEE Trans Syst Man Cybern
, vol.6
, pp. 448-452
-
-
Tomek, I.1
-
56
-
-
0017024036
-
Two modifications of cnn
-
Tomek I (1976) Two modifications of cnn. IEEE Trans Syst Man Cybern 6: 769-772.
-
(1976)
IEEE Trans Syst Man Cybern
, vol.6
, pp. 769-772
-
-
Tomek, I.1
-
57
-
-
0038792231
-
Learning an adaptive dissimilarity measure for nearest neighbour classification
-
Verikas A, Bacauskiene M, Malmqvist K (2003) Learning an adaptive dissimilarity measure for nearest neighbour classification. Neural Comput Appl 11(3-4): 203-209.
-
(2003)
Neural Comput Appl
, vol.11
, Issue.3-4
, pp. 203-209
-
-
Verikas, A.1
Bacauskiene, M.2
Malmqvist, K.3
-
58
-
-
0016451032
-
An experiment in linguistic synthesis with a fuzzy logic controller
-
Mamdani EH, Assilian S (1975) An experiment in linguistic synthesis with a fuzzy logic controller. Int J Man-Mach Stud 7(1): 1-12.
-
(1975)
Int J Man-Mach Stud
, vol.7
, Issue.1
, pp. 1-12
-
-
Mamdani, E.H.1
Assilian, S.2
-
59
-
-
84941531642
-
A new approach to fuzzy-neural system modeling
-
Lin Y, Cunningham GA (1995) A new approach to fuzzy-neural system modeling. IEEE Trans Fuzzy Syst 3(2): 190-198.
-
(1995)
IEEE Trans Fuzzy Syst
, vol.3
, Issue.2
, pp. 190-198
-
-
Lin, Y.1
Cunningham, G.A.2
-
60
-
-
33947267482
-
Weighting fuzzy classification rules using receiver operating characteristics (roc) analysis
-
Zolghadri MJ, Mansoori EG (2007) Weighting fuzzy classification rules using receiver operating characteristics (roc) analysis. Inf Sci 177: 2296-2307.
-
(2007)
Inf Sci
, vol.177
, pp. 2296-2307
-
-
Zolghadri, M.J.1
Mansoori, E.G.2
-
61
-
-
10844255636
-
The evolving tree-a novel self-organizing network for data analysis
-
Pakkanen J, Iivarinen J, Oja E (2004) The evolving tree-a novel self-organizing network for data analysis. Neural Process Lett 20: 199-211.
-
(2004)
Neural Process Lett
, vol.20
, pp. 199-211
-
-
Pakkanen, J.1
Iivarinen, J.2
Oja, E.3
-
63
-
-
52449084807
-
An efficient technique to detect visual defects in particleboards
-
Guzaitis J, Verikas A (2008) An efficient technique to detect visual defects in particleboards. Informatica 19(3): 363-376.
-
(2008)
Informatica
, vol.19
, Issue.3
, pp. 363-376
-
-
Guzaitis, J.1
Verikas, A.2
-
64
-
-
0030111094
-
lvq combined with simulated annealing for optimal design of large-set reference patterns
-
Song HH, Lee SW (1996) lvq combined with simulated annealing for optimal design of large-set reference patterns. Neural Netw 9(2): 329-336.
-
(1996)
Neural Netw
, vol.9
, Issue.2
, pp. 329-336
-
-
Song, H.H.1
Lee, S.W.2
-
66
-
-
65249126921
-
Symbiotic evolution of rule based classifier systems
-
Halavati R, Shouraki SB, Lotfi S, Esfandiar P (2009) Symbiotic evolution of rule based classifier systems. Int J Artif Intell Tools 18(1): 1-16.
-
(2009)
Int J Artif Intell Tools
, vol.18
, Issue.1
, pp. 1-16
-
-
Halavati, R.1
Shouraki, S.B.2
Lotfi, S.3
Esfandiar, P.4
-
67
-
-
1842587806
-
Design of accurate classifiers with a compact fuzzy-rule base using an evolutionary scatter partition of feature space
-
Ho SY, Chen HM, Ho SJ (2004) Design of accurate classifiers with a compact fuzzy-rule base using an evolutionary scatter partition of feature space. IEEE Trans Syst Man Cybern Part B 34(2): 1031-1043.
-
(2004)
IEEE Trans Syst Man Cybern Part B
, vol.34
, Issue.2
, pp. 1031-1043
-
-
Ho, S.Y.1
Chen, H.M.2
Ho, S.J.3
|