-
1
-
-
0038209756
-
Benchmarking state-of-the-art classification algorithms for credit scoring
-
B. Baesens, T. Van Gestel, S. Viaene, M. Stepanova, J. Suykens, and J. Vanthienen, "Benchmarking state-of-the-art classification algorithms for credit scoring," J. Oper. Res. Soc., vol. 54, no. 6, pp. 627-635, 2003.
-
(2003)
J. Oper. Res. Soc
, vol.54
, Issue.6
, pp. 627-635
-
-
Baesens, B.1
Van Gestel, T.2
Viaene, S.3
Stepanova, M.4
Suykens, J.5
Vanthienen, J.6
-
2
-
-
33745202712
-
Eclectic rule-extraction from support vector machines
-
N. Barakat and J. Diederich, "Eclectic rule-extraction from support vector machines," Int. J. Comput. Intell., vol. 2, no. 1, pp. 59-62, 2005.
-
(2005)
Int. J. Comput. Intell
, vol.2
, Issue.1
, pp. 59-62
-
-
Barakat, N.1
Diederich, J.2
-
3
-
-
32344439223
-
Rule extraction from linear support vector machines
-
G. Fung, S. Sandilya, and R. Rao, "Rule extraction from linear support vector machines," in Proc. 11th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining, 2005, pp. 32-40.
-
(2005)
Proc. 11th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining
, pp. 32-40
-
-
Fung, G.1
Sandilya, S.2
Rao, R.3
-
4
-
-
0036565303
-
Extraction of rules from artificial neural networks for nonlinear regression
-
May
-
R. Setiono, W. Leow, and J. Zurada, "Extraction of rules from artificial neural networks for nonlinear regression," IEEE Trans. Neural Netw., vol. 13, no. 3, pp. 564-577, May 2002.
-
(2002)
IEEE Trans. Neural Netw
, vol.13
, Issue.3
, pp. 564-577
-
-
Setiono, R.1
Leow, W.2
Zurada, J.3
-
5
-
-
0032685184
-
Symbolic interpretation of artificial neural networks
-
May/Jun
-
I. Taha and J. Ghosh, "Symbolic interpretation of artificial neural networks," IEEE Trans. Knowl. Data Eng., vol. 11, no. 3, pp. 448-463, May/Jun. 1999.
-
(1999)
IEEE Trans. Knowl. Data Eng
, vol.11
, Issue.3
, pp. 448-463
-
-
Taha, I.1
Ghosh, J.2
-
7
-
-
0346279920
-
An approach to generate rules from neural networks for regression problems
-
May
-
R. Setiono and J. Thong, "An approach to generate rules from neural networks for regression problems," Eur. J. Oper. Res., vol. 155, no. 1, pp. 239-250, May 2004.
-
(2004)
Eur. J. Oper. Res
, vol.155
, Issue.1
, pp. 239-250
-
-
Setiono, R.1
Thong, J.2
-
8
-
-
41649092057
-
-
S. Thrunin Extracting provably correct rules from artificial neural networks, Univ. Bonn, Inst. Informatik III, Bonn, Germany, Tech. Rep. IAI-TR-93-5, 1993. [Online]. Available: Citeseer.ifi.unizh.ch/ thrun93extracting.html
-
S. Thrunin "Extracting provably correct rules from artificial neural networks," Univ. Bonn, Inst. Informatik III, Bonn, Germany, Tech. Rep. IAI-TR-93-5, 1993. [Online]. Available: Citeseer.ifi.unizh.ch/ thrun93extracting.html
-
-
-
-
9
-
-
0029484103
-
Survey and critique of techniques for extracting rules from trained artificial neural networks
-
Dec
-
R. Andrews, J. Diederich, and A. Tickle, "Survey and critique of techniques for extracting rules from trained artificial neural networks," Knowl.-Based Syst., vol. 8, no. 6, pp. 373-389, Dec. 1995.
-
(1995)
Knowl.-Based Syst
, vol.8
, Issue.6
, pp. 373-389
-
-
Andrews, R.1
Diederich, J.2
Tickle, A.3
-
12
-
-
70350775041
-
Learning-based rule-extraction from support vector machines
-
N. Barakat and J. Diederich, "Learning-based rule-extraction from support vector machines," in Proc. 14th ICCTA, 2004.
-
(2004)
Proc. 14th ICCTA
-
-
Barakat, N.1
Diederich, J.2
-
13
-
-
0003577338
-
Extracting comprehensible models from trained neural networks,
-
Ph.D. dissertation, Dept. Comput. Sci, Univ. Wisconsin-Madison, Madison, WI
-
M. Craven, "Extracting comprehensible models from trained neural networks," Ph.D. dissertation, Dept. Comput. Sci., Univ. Wisconsin-Madison, Madison, WI, 1996.
-
(1996)
-
-
Craven, M.1
-
14
-
-
85156234012
-
Extracting tree-structured representations of trained networks
-
D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo, Eds. Cambridge, MA: MIT Press, Online, Available
-
M. Craven and J. Shavlik, "Extracting tree-structured representations of trained networks," in Advances in Neural Information Processing Systems, vol. 8, D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo, Eds. Cambridge, MA: MIT Press, 1996, pp. 24-30. [Online]. Available: citeseer.ist.psu.edu/craven96extracting.html
-
(1996)
Advances in Neural Information Processing Systems
, vol.8
, pp. 24-30
-
-
Craven, M.1
Shavlik, J.2
-
16
-
-
33751378719
-
ITER: An algorithm for predictive regression rule extraction
-
J. Huysmans, B. Baesens, and J. Vanthienen, "ITER: An algorithm for predictive regression rule extraction," in Proc. 8th Int. Conf. DaWaK, 2006, vol. 4081, pp. 270-279.
-
(2006)
Proc. 8th Int. Conf. DaWaK
, vol.4081
, pp. 270-279
-
-
Huysmans, J.1
Baesens, B.2
Vanthienen, J.3
-
17
-
-
34249966007
-
The CN2 induction algorithm
-
Mar, Online, Available
-
P. Clark and T. Niblett, "The CN2 induction algorithm," Mach. Learn., vol. 3, no. 4, pp. 261-283, Mar. 1989. [Online]. Available: citeseer.ist. psu.edu/clark89cn.html
-
(1989)
Mach. Learn
, vol.3
, Issue.4
, pp. 261-283
-
-
Clark, P.1
Niblett, T.2
-
18
-
-
0003312474
-
On the quasi-minimal solution of the general covering problem
-
R. Michalski, "On the quasi-minimal solution of the general covering problem," in Proc. 5th Int. Symp. Inf. Process. (FCIP), 1969, pp. 125-128.
-
(1969)
Proc. 5th Int. Symp. Inf. Process. (FCIP)
, pp. 125-128
-
-
Michalski, R.1
-
19
-
-
85149612939
-
Fast effective rule induction
-
A. Prieditis and S. Russell, Eds
-
W. Cohen, "Fast effective rule induction," in Proc. 12th Int. Conf. Mach. Learn., A. Prieditis and S. Russell, Eds., 1995, pp. 115-123.
-
(1995)
Proc. 12th Int. Conf. Mach. Learn
, pp. 115-123
-
-
Cohen, W.1
-
20
-
-
33745834241
-
-
Irvine, CA: Univ. California, Dept. Inf. and Comput. Sci
-
D. Newman, S. Hettich, C. Blake, and C. Merz, UCI Repository of Machine Learning Databases. Irvine, CA: Univ. California, Dept. Inf. and Comput. Sci., 1998.
-
(1998)
UCI Repository of Machine Learning Databases
-
-
Newman, D.1
Hettich, S.2
Blake, C.3
Merz, C.4
-
21
-
-
0037695279
-
-
Singapore: World Scientific
-
J. Suykens, T. V. Gestel, J. D. Brabanter, B. D. Moor, and J. Vandewalle, Least Squares Support Vector Machines. Singapore: World Scientific, 2002.
-
(2002)
Least Squares Support Vector Machines
-
-
Suykens, J.1
Gestel, T.V.2
Brabanter, J.D.3
Moor, B.D.4
Vandewalle, J.5
-
22
-
-
33645599743
-
Developing intelligent systems for credit scoring using machine learning techniques,
-
Ph.D. dissertation, Katholieke Univ. Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, Leuven, Belgium
-
B. Baesens, "Developing intelligent systems for credit scoring using machine learning techniques," Ph.D. dissertation, Katholieke Univ. Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, Leuven, Belgium, 2003.
-
(2003)
-
-
Baesens, B.1
-
23
-
-
41649097582
-
-
J. Neumann, Classification and evaluation of algorithms for rule extraction from artificial neural networks, Ph.D. dissertation, Univ. Edinburgh, Edinburgh, U.K., 1998. Summer Project.
-
J. Neumann, "Classification and evaluation of algorithms for rule extraction from artificial neural networks," Ph.D. dissertation, Univ. Edinburgh, Edinburgh, U.K., 1998. Summer Project.
-
-
-
-
24
-
-
33644921465
-
Orthogonal search-based rule extraction (OSRE) for trained neural networks: A practical and efficient approach
-
Mar
-
T. Etchells and P. Lisboa, "Orthogonal search-based rule extraction (OSRE) for trained neural networks: A practical and efficient approach," IEEE Trans. Neural Netw., vol. 17, no. 2, pp. 374-384, Mar. 2006.
-
(2006)
IEEE Trans. Neural Netw
, vol.17
, Issue.2
, pp. 374-384
-
-
Etchells, T.1
Lisboa, P.2
-
25
-
-
33845679519
-
Neural network explanation using inversion
-
Jan
-
E. Saad and D. Wunsch, "Neural network explanation using inversion," Neural Netw., vol. 20, no. 1, pp. 78-93, Jan. 2007.
-
(2007)
Neural Netw
, vol.20
, Issue.1
, pp. 78-93
-
-
Saad, E.1
Wunsch, D.2
-
26
-
-
0033343363
-
ANN-DT: An algorithm for extraction of decision trees from artificial neural networks
-
Nov
-
G. Schmitz, C. Aldrich, and F. Gouws, "ANN-DT: An algorithm for extraction of decision trees from artificial neural networks," IEEE Trans. Neural Netw., vol. 10, no. 6, pp. 1392-1401, Nov. 1999.
-
(1999)
IEEE Trans. Neural Netw
, vol.10
, Issue.6
, pp. 1392-1401
-
-
Schmitz, G.1
Aldrich, C.2
Gouws, F.3
-
30
-
-
0032638628
-
Least squares support vector machine classifiers
-
Jun
-
J. Suykens and J. Vandewalle, "Least squares support vector machine classifiers," Neural Process. Lett., vol. 9, no. 3, pp. 293-300, Jun. 1999.
-
(1999)
Neural Process. Lett
, vol.9
, Issue.3
, pp. 293-300
-
-
Suykens, J.1
Vandewalle, J.2
-
31
-
-
0001874815
-
Least squares support vector machine classifiers: A large scale algorithm
-
J. Suykens, L. Lukas, P. Van Dooren, B. De Moor, and J. Vandewalle, "Least squares support vector machine classifiers: A large scale algorithm," in Proc. 14th ECCTD, 1999, pp. 839-842.
-
(1999)
Proc. 14th ECCTD
, pp. 839-842
-
-
Suykens, J.1
Lukas, L.2
Van Dooren, P.3
De Moor, B.4
Vandewalle, J.5
-
32
-
-
0033334209
-
Multiclass least squares support vector machines
-
J. Suykens and J. Vandewalle, "Multiclass least squares support vector machines," in Proc. IJCNN, 1999, pp. 900-903.
-
(1999)
Proc. IJCNN
, pp. 900-903
-
-
Suykens, J.1
Vandewalle, J.2
-
34
-
-
0001939479
-
Sparse least squares support vector machine classifiers
-
J. Suykens, L. Lukas, and J. Vandewalle, "Sparse least squares support vector machine classifiers," in Proc. 8th ESANN, 2000, pp. 37-42.
-
(2000)
Proc. 8th ESANN
, pp. 37-42
-
-
Suykens, J.1
Lukas, L.2
Vandewalle, J.3
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