-
1
-
-
0008091563
-
Rule extraction from trained neural networks using genetic algorithms
-
doi:10.1016/s0362-546x(96)00267-2
-
Arbatli AD, Akin HL (1997) Rule extraction from trained neural networks using genetic algorithms. Nonlinear Anal 30(3): 1639-1648. doi: 10. 1016/s0362-546x(96)00267-2.
-
(1997)
Nonlinear Anal
, vol.30
, Issue.3
, pp. 1639-1648
-
-
Arbatli, A.D.1
Akin, H.L.2
-
2
-
-
34247555584
-
Rule extraction from support vector machines: a sequential covering approach
-
Barakat N, Bradley AP (2007) Rule extraction from support vector machines: a sequential covering approach. IEEE Trans Knowl Data Eng 19(6): 729-741.
-
(2007)
IEEE Trans Knowl Data Eng
, vol.19
, Issue.6
, pp. 729-741
-
-
Barakat, N.1
Bradley, A.P.2
-
3
-
-
78649486389
-
Rule extraction from support vector machines: a review
-
Barakat N, Bradley AP (2010) Rule extraction from support vector machines: a review. Neurocomputing 74(1-3): 178-190.
-
(2010)
Neurocomputing
, vol.74
, Issue.1-3
, pp. 178-190
-
-
Barakat, N.1
Bradley, A.P.2
-
4
-
-
33745202712
-
Eclectic rule-extraction from support vector machines
-
Barakat N, Diederich J (2006) Eclectic rule-extraction from support vector machines. Int J Comput Intell 2(1): 59-62.
-
(2006)
Int J Comput Intell
, vol.2
, Issue.1
, pp. 59-62
-
-
Barakat, N.1
Diederich, J.2
-
6
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
doi:10.1023/a:1009715923555
-
Burges CJC (1998) A tutorial on support vector machines for pattern recognition. Data Min Knowl Discov 2(2): 121-167. doi: 10. 1023/a: 1009715923555.
-
(1998)
Data Min Knowl Discov
, vol.2
, Issue.2
, pp. 121-167
-
-
Burges, C.J.C.1
-
11
-
-
29644438050
-
Statistical comparison of classifiers over multiple data sets
-
Demsar J (2006) Statistical comparison of classifiers over multiple data sets. J Mach Learn Res 7: 1-30.
-
(2006)
J Mach Learn Res
, vol.7
, pp. 1-30
-
-
Demsar, J.1
-
13
-
-
38049053176
-
Rule extraction from support vector machines: an introduction
-
Studies in Computational Intelligence. Springer, Berlin, pp 3-31. doi: 10. 1007/978-3-540-75390-2_1
-
Diederich J (2008) Rule extraction from support vector machines: an introduction. In: Rule extraction from support vector machines, vol 80. Studies in Computational Intelligence. Springer, Berlin, pp 3-31. doi: 10. 1007/978-3-540-75390-2_1.
-
(2008)
Rule extraction from support vector machines
, vol.80
-
-
Diederich, J.1
-
14
-
-
2442617148
-
Extracting rules from trained neural network using GA for managing E-business
-
Ebrahim Elalfi A, Haque R, Elalami ME (2004) Extracting rules from trained neural network using GA for managing E-business. Appl Soft Comput 4: 65-77.
-
(2004)
Appl Soft Comput
, vol.4
, pp. 65-77
-
-
Ebrahim, E.A.1
Haque, R.2
Elalami, M.E.3
-
17
-
-
77954084971
-
Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics
-
doi:10.1007/s00500-009-0506-1
-
García-Martínez C, Lozano M (2010) Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics. Soft Comput 14(10): 1117-1139. doi: 10. 1007/s00500-009-0506-1.
-
(2010)
Soft Comput
, vol.14
, Issue.10
, pp. 1117-1139
-
-
García-Martínez, C.1
Lozano, M.2
-
19
-
-
0001138328
-
A K-means clustering algorithm
-
Hartigan JA, Wong MA (1979) A K-means clustering algorithm. Appl Stat 28: 100-108.
-
(1979)
Appl Stat
, vol.28
, pp. 100-108
-
-
Hartigan, J.A.1
Wong, M.A.2
-
21
-
-
34447292534
-
Comprehensible credit scoring models using rule extraction from support vector machines
-
Martens D, Baesens B, van Gestel T, Vanthienen J (2007) Comprehensible credit scoring models using rule extraction from support vector machines. Eur J Oper Res 183(3): 1466-1476.
-
(2007)
Eur J Oper Res
, vol.183
, Issue.3
, pp. 1466-1476
-
-
Martens, D.1
Baesens, B.2
van Gestel, T.3
Vanthienen, J.4
-
22
-
-
38049069355
-
Rule extraction from support vector machines: an overview of issues and application in credit scoring
-
Martens D, Huysmans J, Setiono R, Vanthienen J, Baesens B (2008) Rule extraction from support vector machines: an overview of issues and application in credit scoring. Stud Comput Intell 80: 33-63.
-
(2008)
Stud Comput Intell
, vol.80
, pp. 33-63
-
-
Martens, D.1
Huysmans, J.2
Setiono, R.3
Vanthienen, J.4
Baesens, B.5
-
23
-
-
68549115709
-
Decompositional rule extraction from support vector machines by active learning
-
Martens D, Baesens B, Gestel TV (2009a) Decompositional rule extraction from support vector machines by active learning. IEEE Trans Knowl Data Eng 21: 177-190.
-
(2009)
IEEE Trans Knowl Data Eng
, vol.21
, pp. 177-190
-
-
Martens, D.1
Baesens, B.2
Gestel, T.V.3
-
24
-
-
68549115709
-
Decompositional rule extraction from support vector machines by active learning
-
Martens D, Baesens BB, van Gestel T (2009b) Decompositional rule extraction from support vector machines by active learning. IEEE Trans Knowl Data Eng 21(2): 178-191.
-
(2009)
IEEE Trans Knowl Data Eng
, vol.21
, Issue.2
, pp. 178-191
-
-
Martens, D.1
Baesens, B.B.2
van Gestel, T.3
-
27
-
-
33748862421
-
Rule-based learning systems for support vector machines
-
Núñez H, Angulo C, Catala A (2006) Rule-based learning systems for support vector machines. Neural Process Lett 24(1): 1-18. doi: http://dx. doi. org/10. 1007/s11063-006-9007-8.
-
(2006)
Neural Process Lett
, vol.24
, Issue.1
, pp. 1-18
-
-
Núñez, H.1
Angulo, C.2
Catala, A.3
-
31
-
-
0003408420
-
-
MIT Press, Cambridge
-
Schlkopf B, Smola AJ (2002) Learning with kernels: support vector machines, regularization, optimization, and beyond. MIT Press, Cambridge.
-
(2002)
Learning with kernels: Support vector machines, regularization, optimization, and beyond
-
-
Schlkopf, B.1
Smola, A.J.2
-
32
-
-
50849098868
-
A note on knowledge discovery using neural networks and its application to credit card screening
-
Setiono R, Baesens B, Mues C (2009) A note on knowledge discovery using neural networks and its application to credit card screening. Eur J Oper Res 192(1): 326-332.
-
(2009)
Eur J Oper Res
, vol.192
, Issue.1
, pp. 326-332
-
-
Setiono, R.1
Baesens, B.2
Mues, C.3
-
33
-
-
25144464662
-
Knowledge discovery using a neural network simultaneous optimization algorithm on a real world classification problem
-
Sexton RS, McMurtrey S, Cleavenger D (2006) Knowledge discovery using a neural network simultaneous optimization algorithm on a real world classification problem. Eur J Oper Res 168(3): 1009-1018.
-
(2006)
Eur J Oper Res
, vol.168
, Issue.3
, pp. 1009-1018
-
-
Sexton, R.S.1
McMurtrey, S.2
Cleavenger, D.3
-
34
-
-
77954680442
-
A hybrid system of neural networks and rough sets for road safety performance indicators
-
doi:10.1007/s00500-009-0492-3
-
Shen Y, Li T, Hermans E, Ruan D, Wets G, Vanhoof K, Brijs T (2010) A hybrid system of neural networks and rough sets for road safety performance indicators. Soft Comput 14(12): 1255-1263. doi: 10. 1007/s00500-009-0492-3.
-
(2010)
Soft Comput
, vol.14
, Issue.12
, pp. 1255-1263
-
-
Shen, Y.1
Li, T.2
Hermans, E.3
Ruan, D.4
Wets, G.5
Vanhoof, K.6
Brijs, T.7
-
37
-
-
34548758629
-
A genetic algorithm-based method for feature subset selection
-
doi: 10. 1007/s00500-007-0193-8
-
Tan F, Fu X, Zhang Y, Bourgeois AG (2008) A genetic algorithm-based method for feature subset selection. Soft Comput 12(2): 111-120. doi: 10. 1007/s00500-007-0193-8.
-
(2008)
Soft Comput
, vol.12
, Issue.2
, pp. 111-120
-
-
Tan, F.1
Fu, X.2
Zhang, Y.3
Bourgeois, A.G.4
|