-
1
-
-
0039195954
-
-
pp. 446-464.
-
K. Al-Ghoneim and B. V. K. V. Kumar, "Learning ranks with neural networks,"in Proc. SPIE Applications Science Artificial Neural Networks, vol. 2492, 1995, pp. 446-464.
-
"Learning Ranks with Neural Networks,"in Proc. SPIE Applications Science Artificial Neural Networks, Vol. 2492, 1995
-
-
Al-Ghoneim, K.1
Kumar, B.V.2
-
2
-
-
43949151078
-
-
1994.
-
E. I. Altman, G. Marco, and F. Varetto, "Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)," J. Bank. Finance, vol. 18, pp. 505-529, 1994.
-
G. Marco, and F. Varetto, "Corporate Distress Diagnosis: Comparisons Using Linear Discriminant Analysis and Neural Networks (The Italian Experience)," J. Bank. Finance, Vol. 18, Pp. 505-529
-
-
Altman, E.I.1
-
3
-
-
0028195682
-
-
1994.
-
B. Amirikian and H. Nishimura, "What size network is good for generalization of a specific task of interest?," Neural Networks, vol. 7, no. 2, pp. 321-329, 1994.
-
"What Size Network Is Good for Generalization of a Specific Task of Interest?," Neural Networks, Vol. 7, No. 2, Pp. 321-329
-
-
Amirikian, B.1
Nishimura, H.2
-
4
-
-
0033105287
-
-
1999.
-
U. Anders and O. Korn, "Model selection in neural networks," Neural Networks, vol. 12, pp. 309-323, 1999.
-
"Model Selection in Neural Networks," Neural Networks, Vol. 12, Pp. 309-323
-
-
Anders, U.1
Korn, O.2
-
5
-
-
0026182828
-
-
1991.
-
N. P. Archer and S. Wang, "Fuzzy set representation of neural network classification boundaries," IEEE Trans. Syst., Man, Cybern., vol. 21, pp. 735-742, 1991.
-
"Fuzzy Set Representation of Neural Network Classification Boundaries," IEEE Trans. Syst., Man, Cybern., Vol. 21, Pp. 735-742
-
-
Archer, N.P.1
Wang, S.2
-
6
-
-
0025532297
-
-
pp. III-211-III-216.
-
H. Asoh and N. Otsu, "An approximation of nonlinear discriminant analysis by multilayer neural networks," in Proc. Int. Joint Conf. Neural Networks, San Diego, CA, 1990, pp. III-211-III-216.
-
"An Approximation of Nonlinear Discriminant Analysis by Multilayer Neural Networks," in Proc. Int. Joint Conf. Neural Networks, San Diego, CA, 1990
-
-
Asoh, H.1
Otsu, N.2
-
7
-
-
33749886622
-
-
pp. 622-629.
-
L. Atlas, R. Cole, J. Connor, M. El-Sharkawi, R. J. Marks II, Y. Muthusamy, and E. Barnard, "Performance comparisons between backpropagation networks and classification trees on three real-world applications," in Advances in Neural Information Processing Systems, D. S. Touretzky, Ed. San Mateo, CA: Morgan Kaufmann, 1990, vol. 2, pp. 622-629.
-
R. Cole, J. Connor, M. El-Sharkawi, R. J. Marks II, Y. Muthusamy, and E. Barnard, "Performance Comparisons between Backpropagation Networks and Classification Trees on Three Real-world Applications," in Advances in Neural Information Processing Systems, D. S. Touretzky, Ed. San Mateo, CA: Morgan Kaufmann, 1990, Vol. 2
-
-
Atlas, L.1
-
8
-
-
0033556929
-
-
1999.
-
R. Avnimelech and N. Intrator, "Boosted mixture of experts: An ensemble learning scheme," Neural Comput., vol. 11, pp. 483-497, 1999.
-
"Boosted Mixture of Experts: an Ensemble Learning Scheme," Neural Comput., Vol. 11, Pp. 483-497
-
-
Avnimelech, R.1
Intrator, N.2
-
9
-
-
33749945208
-
-
pp. 403-417.
-
A. Babloyantz and V. V. Ivanov, "Neural networks in cardiac arrhythmias," in Industrial Applications of Neural Networks, F. F. Soulie and P. Gallinari, Eds, Singapore: World Scientific, 1998, pp. 403-417.
-
"Neural Networks in Cardiac Arrhythmias," in Industrial Applications of Neural Networks, F. F. Soulie and P. Gallinari, Eds, Singapore: World Scientific, 1998
-
-
Babloyantz, A.1
Ivanov, V.V.2
-
10
-
-
0029343566
-
-
1995.
-
P. F. Baldi and K. Hornik, "Learning in linear neural networks: A survey," IEEE Trans. Neural Networks, vol. 6, pp. 837-858, 1995.
-
"Learning in Linear Neural Networks: a Survey," IEEE Trans. Neural Networks, Vol. 6, Pp. 837-858
-
-
Baldi, P.F.1
Hornik, K.2
-
11
-
-
0026838959
-
-
1992.
-
E. B. Barlett and R. E. Uhrig, "Nuclear power plant status diagnostics using artificial neural networks," Nucl. Technol., vol. 97, pp. 272-281, 1992.
-
"Nuclear Power Plant Status Diagnostics Using Artificial Neural Networks," Nucl. Technol., Vol. 97, Pp. 272-281
-
-
Barlett, E.B.1
Uhrig, R.E.2
-
13
-
-
0027668050
-
-
1993.
-
E. Barnard and E. C. Botha, "Back-propagation uses prior information efficiently," IEEE Trans. Neural Networks, vol. 4, pp. 794-802, 1993.
-
"Back-propagation Uses Prior Information Efficiently," IEEE Trans. Neural Networks, Vol. 4, Pp. 794-802
-
-
Barnard, E.1
Botha, E.C.2
-
16
-
-
0028468293
-
-
1994.
-
_, "Using mutual information for selecting features in supervised neural net learning," IEEE Trans. Neural Networks, vol. 5, no. 4, pp. 537-550, 1994.
-
"Using Mutual Information for Selecting Features in Supervised Neural Net Learning," IEEE Trans. Neural Networks, Vol. 5, No. 4, Pp. 537-550
-
-
-
17
-
-
0028257732
-
-
1994.
-
R. Battiti and A. M. Colla, "Democracy in neural nets: Voting schemes for classification," Neural Networks, vol. 7, no. 4, pp. 691-709, 1994.
-
"Democracy in Neural Nets: Voting Schemes for Classification," Neural Networks, Vol. 7, No. 4, Pp. 691-709
-
-
Battiti, R.1
Colla, A.M.2
-
22
-
-
0029256585
-
-
1995.
-
L. M. Belue and K. W. Bauer, "Determining input features for multilayer perceptrons," Neurocomputing, vol. 7, pp. 111-121, 1995.
-
"Determining Input Features for Multilayer Perceptrons," Neurocomputing, Vol. 7, Pp. 111-121
-
-
Belue, L.M.1
Bauer, K.W.2
-
23
-
-
0031233348
-
-
1997.
-
J. M. Benitez, J. L. Castro, and I. Requena, "Are artificial neural networks black boxes?," IEEE Trans. Neural Networks, vol. 8, pp. 1156-1164, 1997.
-
J. L. Castro, and I. Requena, "Are Artificial Neural Networks Black Boxes?," IEEE Trans. Neural Networks, Vol. 8, Pp. 1156-1164
-
-
Benitez, J.M.1
-
25
-
-
0027695851
-
-
1993.
-
H. Bourlard and N. Morgan, "Continuous speech recognition by connectionist statistical methods," IEEE Trans. Neural Networks, vol. 4, pp. 893-909, 1993.
-
"Continuous Speech Recognition by Connectionist Statistical Methods," IEEE Trans. Neural Networks, Vol. 4, Pp. 893-909
-
-
Bourlard, H.1
Morgan, N.2
-
26
-
-
85084725117
-
-
1996.
-
L. Breiman, "Bagging predictors," Mach. Learn., vol. 26, no. 2, pp. 123-140, 1996.
-
"Bagging Predictors," Mach. Learn., Vol. 26, No. 2, Pp. 123-140
-
-
Breiman, L.1
-
27
-
-
0346786584
-
-
1998.
-
_, "Arcing classifiers," Ann. Statist., vol. 26, no. 3, pp. 801-823, 1998.
-
"Arcing Classifiers," Ann. Statist., Vol. 26, No. 3, Pp. 801-823
-
-
-
28
-
-
0027607617
-
-
1993.
-
D. E. Brown, V. Corruble, and C. L. Pittard, "A comparison of decision tree classifiers with backpropagation neural networks for multimodal classification problems," Pattern Recognit., vol. 26, pp. 953-961, 1993.
-
V. Corruble, and C. L. Pittard, "A Comparison of Decision Tree Classifiers with Backpropagation Neural Networks for Multimodal Classification Problems," Pattern Recognit., Vol. 26, Pp. 953-961
-
-
Brown, D.E.1
-
29
-
-
0028424954
-
-
1993.
-
W. L. Buntine and A. S. Weigend, "Computing second derivatives in feed-forward networks: A review," IEEE Trans. Neural Networks, vol. 5, pp. 480-488, 1993.
-
"Computing Second Derivatives in Feed-forward Networks: a Review," IEEE Trans. Neural Networks, Vol. 5, Pp. 480-488
-
-
Buntine, W.L.1
Weigend, A.S.2
-
31
-
-
0031047117
-
-
1997.
-
H. B. Burke, P. H. Goodman, D. B. Rosen, D. E. Henson, J. N. Weinstein, F. E. Harrell, J. R. Marks, D. P. Winchester, and D. G. Bostwick, "Artificial neural networks improve the accuracy of cancer survival prediction," Cancer, vol. 79, pp. 857-862, 1997.
-
P. H. Goodman, D. B. Rosen, D. E. Henson, J. N. Weinstein, F. E. Harrell, J. R. Marks, D. P. Winchester, and D. G. Bostwick, "Artificial Neural Networks Improve the Accuracy of Cancer Survival Prediction," Cancer, Vol. 79, Pp. 857-862
-
-
Burke, H.B.1
-
32
-
-
84972539015
-
-
1994.
-
B. Cheng and D. Titterington, "Neural networks: A review from a statistical perspective," Statist. Sci., vol. 9, no. 1, pp. 2-54, 1994.
-
"Neural Networks: a Review from a Statistical Perspective," Statist. Sci., Vol. 9, No. 1, Pp. 2-54
-
-
Cheng, B.1
Titterington, D.2
-
33
-
-
0031109357
-
-
1997.
-
A. Ciampi and Y. Lechevallier, "Statistical models as building blocks of neural networks," Commun. Statist., vol. 26, no. 4, pp. 991-1009, 1997.
-
"Statistical Models as Building Blocks of Neural Networks," Commun. Statist., Vol. 26, No. 4, Pp. 991-1009
-
-
Ciampi, A.1
Lechevallier, Y.2
-
34
-
-
0030608136
-
-
1996.
-
T. Cibas, F. F. Soulie, P. Gallinari, and S. Raudys, "Variable selection with neural networks," Neurocomput., vol. 12, pp. 223-248, 1996.
-
F. F. Soulie, P. Gallinari, and S. Raudys, "Variable Selection with Neural Networks," Neurocomput., Vol. 12, Pp. 223-248
-
-
Cibas, T.1
-
35
-
-
0032209063
-
-
1998.
-
C. S. Cruz and J. R. Dorronsoro, "A nonlinear discriminant algorithm for feature extraction and data classification," IEEE Trans. Neural Networks, vol. 9, pp. 1370-1376, 1998.
-
"A Nonlinear Discriminant Algorithm for Feature Extraction and Data Classification," IEEE Trans. Neural Networks, Vol. 9, Pp. 1370-1376
-
-
Cruz, C.S.1
Dorronsoro, J.R.2
-
36
-
-
0028416730
-
-
1994.
-
S. P. Curram and J. Mingers, "Neural networks, decision tree induction and discriminant analysis: An empirical comparison," J. Oper. Res. Soc., vol. 45, no. 4, pp. 440-450, 1994.
-
"Neural Networks, Decision Tree Induction and Discriminant Analysis: an Empirical Comparison," J. Oper. Res. Soc., Vol. 45, No. 4, Pp. 440-450
-
-
Curram, S.P.1
Mingers, J.2
-
39
-
-
84976766582
-
-
1995.
-
T. G. Dietterich, "Overfilling and undercompuling in machine learning," Comput. Surv., vol. 27, no. 3, pp. 326-327, 1995.
-
"Overfilling and Undercompuling in Machine Learning," Comput. Surv., Vol. 27, No. 3, Pp. 326-327
-
-
Dietterich, T.G.1
-
40
-
-
33749927003
-
-
1995.
-
T. G. Dietterich and G. Bakiri, "Solving multiclass learning problems via error-correcling output codes," J. Artif. Intell. Res., vol. 2, pp. 263-286, 1995.
-
"Solving Multiclass Learning Problems via Error-correcling Output Codes," J. Artif. Intell. Res., Vol. 2, Pp. 263-286
-
-
Dietterich, T.G.1
Bakiri, G.2
-
41
-
-
0004053609
-
-
1995.
-
T. G. Dietterich and E. B. Kong, "Machine learning bias, statistical bias, and statistical variance of decision tree algorithms," Dept. Comput. Sci., Oregon State Univ., Corvallis, Tech. Rep., 1995.
-
"Machine Learning Bias, Statistical Bias, and Statistical Variance of Decision Tree Algorithms," Dept. Comput. Sci., Oregon State Univ., Corvallis, Tech. Rep.
-
-
Dietterich, T.G.1
Kong, E.B.2
-
44
-
-
0024123528
-
-
pp. 443-450.
-
S. Dutta and S. Shekhar, "Bond raling: A nonconservative application of neural networks," in Proc. IEEE Int. Conf. Neural Networks, vol. 2, San Diego, CA, 1988, pp. 443-450.
-
"Bond Raling: a Nonconservative Application of Neural Networks," in Proc. IEEE Int. Conf. Neural Networks, Vol. 2, San Diego, CA, 1988
-
-
Dutta, S.1
Shekhar, S.2
-
46
-
-
0032100159
-
-
1998.
-
M. Egmont-Petersen, J. L. Talmon, A. Hasman, and A. W. Ambergen, "Assessing the importance of features for multi-layer perceptrons," Neural Networks, vol. 11, pp. 623-635, 1998.
-
J. L. Talmon, A. Hasman, and A. W. Ambergen, "Assessing the Importance of Features for Multi-layer Perceptrons," Neural Networks, Vol. 11, Pp. 623-635
-
-
Egmont-Petersen, M.1
-
47
-
-
33749973014
-
-
pp. 1005-1008.
-
A. Flexer, "Statistical evaluation of neural network experiments: Minimum requirements and current practice," in Proc. 13th Eur. Meeting Cybernetics Systems Research, R. Trappl, Ed., 1996, pp. 1005-1008.
-
"Statistical Evaluation of Neural Network Experiments: Minimum Requirements and Current Practice," in Proc. 13th Eur. Meeting Cybernetics Systems Research, R. Trappl, Ed., 1996
-
-
Flexer, A.1
-
48
-
-
21744462998
-
-
1997.
-
J. H. Friedman, "On bias, variance, 0/1-loss, and the curse of the dimensionality," Data Mining Knowl. Disc., vol. 1, pp. 55-77, 1997.
-
"On Bias, Variance, 0/1-loss, and the Curse of the Dimensionality," Data Mining Knowl. Disc., Vol. 1, Pp. 55-77
-
-
Friedman, J.H.1
-
51
-
-
0024716579
-
-
1989.
-
K. Fukunaga and R. R. Hayes, "Effects of sample size in classifier design," IEEE Trans. Pattern Anal. Machine Intell., vol. 11, pp. 873-885, 1989.
-
"Effects of Sample Size in Classifier Design," IEEE Trans. Pattern Anal. Machine Intell., Vol. 11, Pp. 873-885
-
-
Fukunaga, K.1
Hayes, R.R.2
-
54
-
-
0025746876
-
-
1991.
-
P. Gallinari, S. Thiria, R. Badran, and F. Fogelman-Soulie, "On the relationships between discriminant analysis and multilayer perceptrons," Neural Networks, vol. 4, pp. 349-360, 1991.
-
S. Thiria, R. Badran, and F. Fogelman-Soulie, "On the Relationships between Discriminant Analysis and Multilayer Perceptrons," Neural Networks, Vol. 4, Pp. 349-360
-
-
Gallinari, P.1
-
56
-
-
0031114560
-
-
1997.
-
T. D. Gedeon, "Data mining of inputs: Analysis magnitude and functional measures," Int. J. Neural Syst., vol. 8, no. 1, pp. 209-218, 1997.
-
"Data Mining of Inputs: Analysis Magnitude and Functional Measures," Int. J. Neural Syst., Vol. 8, No. 1, Pp. 209-218
-
-
Gedeon, T.D.1
-
57
-
-
33747674152
-
-
1992.
-
S. Geman, E. Bienenstock, and T. Doursat, "Neural networks and the bias/variance dilemma," Neural Comput., vol. 5, pp. 1-58, 1992.
-
E. Bienenstock, and T. Doursat, "Neural Networks and the Bias/variance Dilemma," Neural Comput., Vol. 5, Pp. 1-58
-
-
Geman, S.1
-
58
-
-
0025671510
-
-
pp. 1361-1364.
-
H. Gish, "A probabilistic approach to the understanding and training of neural network classifiers," in Proc. IEEE Int. Conf. Acoustic, Speech, Signal Processing, 1990, pp. 1361-1364.
-
"A Probabilistic Approach to the Understanding and Training of Neural Network Classifiers," in Proc. IEEE Int. Conf. Acoustic, Speech, Signal Processing, 1990
-
-
Gish, H.1
-
62
-
-
0028543366
-
-
1994.
-
M. T. Hagan and M. Henhaj, "Training feedforward networks with the Marquardt algorithm," IEEE Trans. Neural Networks, vol. 5, pp. 989-993, 1994.
-
"Training Feedforward Networks with the Marquardt Algorithm," IEEE Trans. Neural Networks, Vol. 5, Pp. 989-993
-
-
Hagan, M.T.1
Henhaj, M.2
-
63
-
-
33749969142
-
-
1990.
-
J. B. Hampshire and B. A. Perlmutter, "Equivalence proofs for multilayer perceptron classifiers and the Bayesian discriminant function," in Proc. 1990 Connectionist Models Summer School, D. Touretzky, J. Elman, T. Sejnowski, and G. Hinton, Eds. San Mateo, CA, 1990.
-
"Equivalence Proofs for Multilayer Perceptron Classifiers and the Bayesian Discriminant Function," in Proc. 1990 Connectionist Models Summer School, D. Touretzky, J. Elman, T. Sejnowski, and G. Hinton, Eds. San Mateo, CA
-
-
Hampshire, J.B.1
Perlmutter, B.A.2
-
64
-
-
0025507176
-
-
1990.
-
L. K. Hansen and P. Salamon, "Neural network ensembles," IEEE Trans. Pattern Anal. Machine Intell., vol. 12, no. 10, pp. 993-1001, 1990.
-
"Neural Network Ensembles," IEEE Trans. Pattern Anal. Machine Intell., Vol. 12, No. 10, Pp. 993-1001
-
-
Hansen, L.K.1
Salamon, P.2
-
65
-
-
33749927000
-
-
and K. L. Lee, 1985.
-
F. E. Harreli and K. L. Lee, "A comparison of the discriminant analysis and logistic regression under multivariate normality," in Biostatistics: Statistics in Biomedical, Public Health, and Environmental Sciences, P. K. Sen, Ed, Amsterdam, The Netherlands: North Holland, 1985.
-
"A Comparison of the Discriminant Analysis and Logistic Regression under Multivariate Normality," in Biostatistics: Statistics in Biomedical, Public Health, and Environmental Sciences, P. K. Sen, Ed, Amsterdam, the Netherlands: North Holland
-
-
Harreli, F.E.1
-
67
-
-
0029304867
-
-
1995.
-
S. Hashem and B. Schmeiser, "Improving model accuracy using optimal linear combinations of trained neural networks," IEEE Trans. Neural Networks, vol. 6, no. 3, pp. 792-794, 1995.
-
"Improving Model Accuracy Using Optimal Linear Combinations of Trained Neural Networks," IEEE Trans. Neural Networks, Vol. 6, No. 3, Pp. 792-794
-
-
Hashem, S.1
Schmeiser, B.2
-
68
-
-
0031171679
-
-
1997.
-
S. Hashem, "Optimal linear combination of neural networks," Neural Networks, vol. 10, no. 4, pp. 599-614, 1997.
-
"Optimal Linear Combination of Neural Networks," Neural Networks, Vol. 10, No. 4, Pp. 599-614
-
-
Hashem, S.1
-
69
-
-
33749954726
-
-
pp. 101-125.
-
_, "Treating harmful collinearity in neural network ensembles," in Combining Artificial Neural Nets: Ensemble and Modular Multi-Net Systems, A. J. C. Sharkey, Ed. Berlin, Germany: Springer-Verlag, 1999, pp. 101-125.
-
"Treating Harmful Collinearity in Neural Network Ensembles," in Combining Artificial Neural Nets: Ensemble and Modular Multi-Net Systems, A. J. C. Sharkey, Ed. Berlin, Germany: Springer-Verlag, 1999
-
-
-
71
-
-
0001691634
-
-
1998.
-
T. Heskes, "Bias/variance decompositions for likelihood-based estimators," Neural Comput., vol. 10, no. 6, pp. 1425-1434, 1998.
-
"Bias/variance Decompositions for Likelihood-based Estimators," Neural Comput., Vol. 10, No. 6, Pp. 1425-1434
-
-
Heskes, T.1
-
72
-
-
0345320260
-
-
1998.
-
M. Hintz-Madsen, L. K. Hansen, J. Larsen, M. W. Pedersen, and M. Larsen, "Neural classifier construction using regularization, pruning and test error estimation," Neural Networks, vol. 11, pp. 1659-1670, 1998.
-
L. K. Hansen, J. Larsen, M. W. Pedersen, and M. Larsen, "Neural Classifier Construction Using Regularization, Pruning and Test Error Estimation," Neural Networks, Vol. 11, Pp. 1659-1670
-
-
Hintz-Madsen, M.1
-
73
-
-
0028259890
-
-
Jan. 1994.
-
T. K. Ho, J. J. Hull, and S. N. Srihari, "Decision combination in multiple classifier systems," IEEE Trans. Pattern Anal. Machine Intell., vol. 16, pp. 66-75, Jan. 1994.
-
J. J. Hull, and S. N. Srihari, "Decision Combination in Multiple Classifier Systems," IEEE Trans. Pattern Anal. Machine Intell., Vol. 16, Pp. 66-75
-
-
Ho, T.K.1
-
74
-
-
0030825215
-
-
1997.
-
L. Holmstrom, P. Koistinen, J. Laaksonen, and E. Oja, "Neural and statistical classifiers-taxonomy and two case studies," IEEE Trans. Neural Networks, vol. 8, pp. 5-17, 1997.
-
P. Koistinen, J. Laaksonen, and E. Oja, "Neural and Statistical Classifiers-taxonomy and Two Case Studies," IEEE Trans. Neural Networks, Vol. 8, Pp. 5-17
-
-
Holmstrom, L.1
-
75
-
-
0025703365
-
-
1990.
-
M. J. Holt and S. Semnani, "Convergence of back propagation in neural networks using a log-likelihood cost function," Electron. Lett., vol. 26, no. 23, pp. 1964-1965, 1990.
-
"Convergence of Back Propagation in Neural Networks Using a Log-likelihood Cost Function," Electron. Lett., Vol. 26, No. 23, Pp. 1964-1965
-
-
Holt, M.J.1
Semnani, S.2
-
79
-
-
0024880831
-
-
1989.
-
K. Hornik, M. Stinchcombe, and H. White, "Multilayer feedforward networks are universal approximators," Neural Networks, vol. 2, pp. 359-366, 1989.
-
M. Stinchcombe, and H. White, "Multilayer Feedforward Networks Are Universal Approximators," Neural Networks, Vol. 2, Pp. 359-366
-
-
Hornik, K.1
-
80
-
-
0025543477
-
-
pp. 81-86.
-
J. C. Hoskins, K. M. Kaliyur, and D. M. Himmelblau, "Incipient fault detection and diagnosis using artificial neural networks," in Proc. Int. Joint Conf. Neural Networks, 1990, pp. 81-86.
-
K. M. Kaliyur, and D. M. Himmelblau, "Incipient Fault Detection and Diagnosis Using Artificial Neural Networks," in Proc. Int. Joint Conf. Neural Networks, 1990
-
-
Hoskins, J.C.1
-
81
-
-
33749882157
-
-
1996.
-
M. Y. Hu, M. S. Hung, M. S. Shanker, and H. Chen, "Using neural networks to predict performance of sino-foreign joint ventures," Int. J. Comput. Intell. Organ., vol. 1, no. 3, pp. 134-143, 1996.
-
M. S. Hung, M. S. Shanker, and H. Chen, "Using Neural Networks to Predict Performance of Sino-foreign Joint Ventures," Int. J. Comput. Intell. Organ., Vol. 1, No. 3, Pp. 134-143
-
-
Hu, M.Y.1
-
82
-
-
0023602784
-
-
pp. 485-493.
-
W. Y. Huang and R. P. Lippmann, "Comparisons between neural net and conventional classifiers," in IEEE 1st Int. Conf. Neural Networks, San Diego, CA, 1987, pp. 485-493.
-
"Comparisons between Neural Net and Conventional Classifiers," in IEEE 1st Int. Conf. Neural Networks, San Diego, CA, 1987
-
-
Huang, W.Y.1
Lippmann, R.P.2
-
83
-
-
33749954725
-
-
1996.
-
M. S. Hung, M. Y. Hu, M. S. Shanker, and B. E. Patuwo, "Estimating posterior probabilities in classification problems with neural networks," Int. J. Comput. Intell. Organ., vol. 1, no. 1, pp. 49-60, 1996.
-
M. Y. Hu, M. S. Shanker, and B. E. Patuwo, "Estimating Posterior Probabilities in Classification Problems with Neural Networks," Int. J. Comput. Intell. Organ., Vol. 1, No. 1, Pp. 49-60
-
-
Hung, M.S.1
-
86
-
-
33749920442
-
-
1997.
-
G. James and T. Hastie, "Generalizations of the bias/variance decomposition for prediction error," Dept. Statistics, Stanford Univ., Stanford, CA, Tech. Rep., 1997.
-
"Generalizations of the Bias/variance Decomposition for Prediction Error," Dept. Statistics, Stanford Univ., Stanford, CA, Tech. Rep.
-
-
James, G.1
Hastie, T.2
-
87
-
-
0030736561
-
-
Jan. 1997.
-
C. Ji and S. Ma, "Combinations of weak classifiers," IEEE Trans. Neural Networks, vol. 8, pp. 32-42, Jan. 1997.
-
"Combinations of Weak Classifiers," IEEE Trans. Neural Networks, Vol. 8, Pp. 32-42
-
-
Ji, C.1
Ma, S.2
-
88
-
-
0026191131
-
-
1991.
-
F. Kanaya and S. Miyake, "Bayes statistical behavior and valid generalization of pattern classifying neural networks," IEEE Trans. Neural Networks, vol. 2, no. 4, pp. 471-475, 1991.
-
"Bayes Statistical Behavior and Valid Generalization of Pattern Classifying Neural Networks," IEEE Trans. Neural Networks, Vol. 2, No. 4, Pp. 471-475
-
-
Kanaya, F.1
Miyake, S.2
-
89
-
-
0029061996
-
-
1995.
-
J. Karhunen and J. Joutsensalo, "Generalizations of principal component analysis, optimization problems and neural networks," Neural Networks, vol. 8, pp. 549-562, 1995.
-
"Generalizations of Principal Component Analysis, Optimization Problems and Neural Networks," Neural Networks, Vol. 8, Pp. 549-562
-
-
Karhunen, J.1
Joutsensalo, J.2
-
90
-
-
0032021555
-
-
1998.
-
J. Kittler, M. Hatef, R. P. W. Duin, and J. Matas, "On combining classifiers," IEEE Trans. Pattern Anal. Machine Intell., vol. 20, pp. 226-239, 1998.
-
M. Hatef, R. P. W. Duin, and J. Matas, "On Combining Classifiers," IEEE Trans. Pattern Anal. Machine Intell., Vol. 20, Pp. 226-239
-
-
Kittler, J.1
-
91
-
-
0001494196
-
-
1982.
-
D. G. Kleinbaum, L. L. Kupper, and L. E. Chambless, "Logistic regression analysis of epidemiologic data," Theory Practice, Commun. Statist. A, vol. 11, pp. 485-547, 1982.
-
L. L. Kupper, and L. E. Chambless, "Logistic Regression Analysis of Epidemiologic Data," Theory Practice, Commun. Statist. A, Vol. 11, Pp. 485-547
-
-
Kleinbaum, D.G.1
-
92
-
-
0026955102
-
-
1992.
-
S. Knerr, L. Personnaz, and G. Dreyfus, "Handwritten digit recognition by neural networks with single-layer training," IEEE Trans. Neural Networks, vol. 3, pp. 962-968, 1992.
-
L. Personnaz, and G. Dreyfus, "Handwritten Digit Recognition by Neural Networks with Single-layer Training," IEEE Trans. Neural Networks, Vol. 3, Pp. 962-968
-
-
Knerr, S.1
-
95
-
-
52449127881
-
-
1995.
-
A. Krogh and J. Vedelsby, "Neural network ensembles, cross validation, and active learning," Adv. Neural Inform. Process., vol. 7, pp. 231-238, 1995.
-
"Neural Network Ensembles, Cross Validation, and Active Learning," Adv. Neural Inform. Process., Vol. 7, Pp. 231-238
-
-
Krogh, A.1
Vedelsby, J.2
-
96
-
-
0029358380
-
-
1995.
-
R. C. Lacher, P. K. Coats, S. C. Sharma, and L. F. Fant, "A neural network for classifying the financial health of a firm," Eur. J. Oper. Res., vol. 85, pp. 53-65, 1995.
-
P. K. Coats, S. C. Sharma, and L. F. Fant, "A Neural Network for Classifying the Financial Health of a Firm," Eur. J. Oper. Res., Vol. 85, Pp. 53-65
-
-
Lacher, R.C.1
-
97
-
-
33749965951
-
-
pp. 35-42.
-
J. Lampinen, S. Smolander, and M. Korhonen, "Wood surface inspection system based on generic visual features," in Industrial Applications of Neural Networks, F. F. Soulie and P. Gallinari, Eds, Singapore: World Scientific, 1998, pp. 35-42.
-
S. Smolander, and M. Korhonen, "Wood Surface Inspection System Based on Generic Visual Features," in Industrial Applications of Neural Networks, F. F. Soulie and P. Gallinari, Eds, Singapore: World Scientific, 1998
-
-
Lampinen, J.1
-
98
-
-
33749930154
-
-
1990.
-
Y. Le Cun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubberd, and L. D. Jackel, "Handwritten digit recognition with a back-propagation network," Adv. Neural Inform. Process Syst., vol. 2, pp. 396-404, 1990.
-
B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubberd, and L. D. Jackel, "Handwritten Digit Recognition with a Back-propagation Network," Adv. Neural Inform. Process Syst., Vol. 2, Pp. 396-404
-
-
Le Cun, Y.1
-
99
-
-
33749979984
-
-
pp. 598-605.
-
Y. Le Cun, J. S. Denker, and S. A. Solla, "Optimal brain damage," in Advances in Neural Information Processing Systems, D. S. Touretzky, Ed. San Mateo, CA: Morgan Kaufmann, 1990, vol. 2, pp. 598-605.
-
J. S. Denker, and S. A. Solla, "Optimal Brain Damage," in Advances in Neural Information Processing Systems, D. S. Touretzky, Ed. San Mateo, CA: Morgan Kaufmann, 1990, Vol. 2
-
-
Le Cun, Y.1
-
100
-
-
85013525841
-
-
pp. 89-108.
-
D. S. Lee, S. N. Sriharia, and R. Gaborski, "Bayesian and neural-network pattern recognition: A theoretical connection and empirical results with handwritten characters," in Artificial Neural Networks and Statistical Pattern Recognition, I. K. Sethi and A. K. Jain, Eds. New York: Elsevier, 1991, pp. 89-108.
-
S. N. Sriharia, and R. Gaborski, "Bayesian and Neural-network Pattern Recognition: a Theoretical Connection and Empirical Results with Handwritten Characters," in Artificial Neural Networks and Statistical Pattern Recognition, I. K. Sethi and A. K. Jain, Eds. New York: Elsevier, 1991
-
-
Lee, D.S.1
-
101
-
-
0030110988
-
-
1996.
-
M. Leshno and Y. Spector, "Neural network prediction analysis: The bankruptcy case," Neurocomput., vol. 10, pp. 125-147, 1996.
-
"Neural Network Prediction Analysis: the Bankruptcy Case," Neurocomput., Vol. 10, Pp. 125-147
-
-
Leshno, M.1
Spector, Y.2
-
103
-
-
38249013506
-
-
1992.
-
G. S. Lim, M. Alder, and P. Hadingham, "Adaptive quadratic neural nets," Pattern Recognit. Lett., vol. 13, pp. 325-329, 1992.
-
M. Alder, and P. Hadingham, "Adaptive Quadratic Neural Nets," Pattern Recognit. Lett., Vol. 13, Pp. 325-329
-
-
Lim, G.S.1
-
104
-
-
33749909468
-
-
1998.
-
T. S. Lim, W. Y. Loh, and Y. S. Shih, "An empirical comparison of decision trees and other classification methods," Dept. Statistics, Univ. Wisconsin, Madison, Tech. Rep. 979, 1998.
-
W. Y. Loh, and Y. S. Shih, "An Empirical Comparison of Decision Trees and Other Classification Methods," Dept. Statistics, Univ. Wisconsin, Madison, Tech. Rep. 979
-
-
Lim, T.S.1
-
107
-
-
0000478224
-
-
1990.
-
D. Lowe and A. R. Webb, "Exploiting prior knowledge in network optimization: An illustration form medical prognosis," Network Comput. Neural Syst., vol. 1, pp. 299-323, 1990.
-
"Exploiting Prior Knowledge in Network Optimization: an Illustration Form Medical Prognosis," Network Comput. Neural Syst., Vol. 1, Pp. 299-323
-
-
Lowe, D.1
Webb, A.R.2
-
112
-
-
84990557166
-
-
1995.
-
I. S. Markham and C. T. Ragsdale, "Combining neural networks and statistical predictions to solve the classification problem in discriminant analysis," Decis. Sci., vol. 26, pp. 229-241, 1995.
-
"Combining Neural Networks and Statistical Predictions to Solve the Classification Problem in Discriminant Analysis," Decis. Sci., Vol. 26, Pp. 229-241
-
-
Markham, I.S.1
Ragsdale, C.T.2
-
113
-
-
33749916074
-
-
1991.
-
G. L. Martin and G. L. Pitman, "Recognizing hand-printed letter and digits using backpropagation learning," Neural Comput., vol. 3, pp. 258-267, 1991.
-
"Recognizing Hand-printed Letter and Digits Using Backpropagation Learning," Neural Comput., Vol. 3, Pp. 258-267
-
-
Martin, G.L.1
Pitman, G.L.2
-
114
-
-
0032209028
-
-
Nov. 1998.
-
B. Mak and R. W. Blanning, "An empirical measure of element contribution in neural networks," IEEE Trans. Syst., Man, Cybern. C, vol. 28, pp. 561-564, Nov. 1998.
-
"An Empirical Measure of Element Contribution in Neural Networks," IEEE Trans. Syst., Man, Cybern. C, Vol. 28, Pp. 561-564
-
-
Mak, B.1
Blanning, R.W.2
-
115
-
-
33749882156
-
-
1994.
-
D. Michie, D. J. Spiegelhalter, and C. C. Taylor, Eds., Machine Learning, Neural, and Statistical Classification, London, U.K.: Ellis Horwood, 1994.
-
D. J. Spiegelhalter, and C. C. Taylor, Eds., Machine Learning, Neural, and Statistical Classification, London, U.K.: Ellis Horwood
-
-
Michie, D.1
-
116
-
-
0026222694
-
-
1991.
-
S. Miyake and F. Kanaya, "A neural network approach to a Bayesian statistical decision problem," IEEE Trans. Neural Networks, vol. 2, pp. 538-540, 1991.
-
"A Neural Network Approach to a Bayesian Statistical Decision Problem," IEEE Trans. Neural Networks, Vol. 2, Pp. 538-540
-
-
Miyake, S.1
Kanaya, F.2
-
117
-
-
33749940899
-
-
pp. 277-300.
-
J. Moody and J. Utans, "Architecture selection strategies for neural networks: Application to corporate bond rating prediction," in Neural Networks in the Capital Markets, A.-P. Refenes, Ed. New York: Wiley, 1995, pp. 277-300.
-
"Architecture Selection Strategies for Neural Networks: Application to Corporate Bond Rating Prediction," in Neural Networks in the Capital Markets, A.-P. Refenes, Ed. New York: Wiley, 1995
-
-
Moody, J.1
Utans, J.2
-
118
-
-
33749923734
-
-
1990.
-
N. Morgan and H. Bourlard, "Generalization and parameter estimation in feedforward nets: Some experiments," Adv. Neural Inform. Process. Syst., vol. 2, pp. 630-637, 1990.
-
"Generalization and Parameter Estimation in Feedforward Nets: some Experiments," Adv. Neural Inform. Process. Syst., Vol. 2, Pp. 630-637
-
-
Morgan, N.1
Bourlard, H.2
-
119
-
-
33749982958
-
-
pp. 107-115.
-
M. C. Mozer and P. Smolensky, "Skeletonization: A technique for trimming the fat from a network via relevance assessment," in Advances in Neural Information Processing Systems, D. S. Touretzky, Ed. San Mateo, CA: Morgan Kaufmann, 1989, vol. 1, pp. 107-115.
-
"Skeletonization: a Technique for Trimming the Fat from a Network via Relevance Assessment," in Advances in Neural Information Processing Systems, D. S. Touretzky, Ed. San Mateo, CA: Morgan Kaufmann, 1989, Vol. 1
-
-
Mozer, M.C.1
Smolensky, P.2
-
120
-
-
0347128520
-
-
1998.
-
P. Muller and D. R. Insua, "Issues in Bayesian analysis of neural network models," Neural Comput., vol. 10, pp. 749-770, 1998.
-
"Issues in Bayesian Analysis of Neural Network Models," Neural Comput., Vol. 10, Pp. 749-770
-
-
Muller, P.1
Insua, D.R.2
-
121
-
-
33749886012
-
-
pp. 607-614.
-
N. Murata, S. Yoshizawa, and S. Amari, "Learning curves, model selection and complexity of neural networks," in Advances in Neural Information Processing Systems, 5, S. J. Hanson, J. D. Cowan, and C. L. Giles, Eds. San Mateo, CA: Morgan Kaufmann, 1993, pp. 607-614.
-
S. Yoshizawa, and S. Amari, "Learning Curves, Model Selection and Complexity of Neural Networks," in Advances in Neural Information Processing Systems, 5, S. J. Hanson, J. D. Cowan, and C. L. Giles, Eds. San Mateo, CA: Morgan Kaufmann, 1993
-
-
Murata, N.1
-
123
-
-
0031209593
-
-
1997.
-
R. Nath, B. Rajagopalan, and R. Ryker, "Determining the saliency of input variables in neural network classifiers," Comput. Oper. Res., vol. 24, pp. 767-773, 1997.
-
B. Rajagopalan, and R. Ryker, "Determining the Saliency of Input Variables in Neural Network Classifiers," Comput. Oper. Res., Vol. 24, Pp. 767-773
-
-
Nath, R.1
-
125
-
-
33749894367
-
-
1989.
-
E. Oja, "Neural networks, principle components, and subspace," Int. J. Neural Syst., vol. 1, pp. 61-68, 1989.
-
"Neural Networks, Principle Components, and Subspace," Int. J. Neural Syst., Vol. 1, Pp. 61-68
-
-
Oja, E.1
-
127
-
-
84990585716
-
-
1993.
-
E. Patwo, M. Y. Hu, and M. S. Hung, "Two-group classification using neural networks," Decis. Sci., vol. 24, no. 4, pp. 825-845, 1993.
-
M. Y. Hu, and M. S. Hung, "Two-group Classification Using Neural Networks," Decis. Sci., Vol. 24, No. 4, Pp. 825-845
-
-
Patwo, E.1
-
128
-
-
33749968047
-
-
pp. 1188-1189.
-
M. P. Perrone, "Putting it all together: Methods for combining neural networks," in Advances in Neural Information Processing Systems, J. D. Cowan, G. Tesauro, and J. Alspector, Eds. San Mateo, CA: Morgan Kaufmann, 1994, vol. 6, pp. 1188-1189.
-
"Putting It All Together: Methods for Combining Neural Networks," in Advances in Neural Information Processing Systems, J. D. Cowan, G. Tesauro, and J. Alspector, Eds. San Mateo, CA: Morgan Kaufmann, 1994, Vol. 6
-
-
Perrone, M.P.1
-
129
-
-
0000926506
-
-
pp. 126-142.
-
M. P. Perrone and L. N. Cooper, "When networks disagree: Ensemble methods for hybrid neural networks," in Neural Networks for Speech and Image Processing, R. J. Mammone, Ed. London, U.K.: Chapman & Hall, 1993, pp. 126-142.
-
"When Networks Disagree: Ensemble Methods for Hybrid Neural Networks," in Neural Networks for Speech and Image Processing, R. J. Mammone, Ed. London, U.K.: Chapman & Hall, 1993
-
-
Perrone, M.P.1
Cooper, L.N.2
-
130
-
-
33749964781
-
-
pp. 91-97.
-
T. Petsche, A. Marcantonio, C. Darken, S. J. Hanson, G. M. Huhn, and I. Santoso, "An autoassociator for on-line motor monitoring," in Industrial Applications of Neural Networks, F. F. Soulie and P. Gallinari, Eds, Singapore: World Scientific, 1998, pp. 91-97.
-
A. Marcantonio, C. Darken, S. J. Hanson, G. M. Huhn, and I. Santoso, "An Autoassociator for On-line Motor Monitoring," in Industrial Applications of Neural Networks, F. F. Soulie and P. Gallinari, Eds, Singapore: World Scientific, 1998
-
-
Petsche, T.1
-
131
-
-
0030130727
-
-
1996.
-
L. Prechelt, "A quantitative study of experimental evaluation of neural network algorithms: Current research practice," Neural Networks, vol. 9, no. 3, pp. 457-462, 1996.
-
"A Quantitative Study of Experimental Evaluation of Neural Network Algorithms: Current Research Practice," Neural Networks, Vol. 9, No. 3, Pp. 457-462
-
-
Prechelt, L.1
-
132
-
-
84934379606
-
-
1978.
-
S. J. Press and S. Wilson, "Choosing between logistic regression and discriminant analysis," J. Amer. Statist. Assoc., vol. 73, pp. 699-705, 1978.
-
"Choosing between Logistic Regression and Discriminant Analysis," J. Amer. Statist. Assoc., Vol. 73, Pp. 699-705
-
-
Press, S.J.1
Wilson, S.2
-
136
-
-
0026120032
-
-
Mar. 1991.
-
S. J. Raudys and A. K. Jain, "Small sample size effects in statistical pattern recognition: Recommendations for practitioners," IEEE Trans. Pattern Anal. Machine Intell., vol. 13, pp. 252-264, Mar. 1991.
-
"Small Sample Size Effects in Statistical Pattern Recognition: Recommendations for Practitioners," IEEE Trans. Pattern Anal. Machine Intell., Vol. 13, Pp. 252-264
-
-
Raudys, S.J.1
Jain, A.K.2
-
138
-
-
0001595997
-
-
1991.
-
M. D. Richard and R. Lippmann, "Neural network classifiers estimate Bayesian a posteriori probabilities," Neural Comput., vol. 3, pp. 461-483, 1991.
-
"Neural Network Classifiers Estimate Bayesian a Posteriori Probabilities," Neural Comput., Vol. 3, Pp. 461-483
-
-
Richard, M.D.1
Lippmann, R.2
-
139
-
-
33749959136
-
-
pp. 40-123.
-
A. Ripley, "Statistical aspects of neural networks," in Networks and Chaos - Statistical and Probabilistic Aspects, O. E. Barndorff-Nielsen, J. L. Jensen, and W. S. Kendall, Eds. London, U.K.: Chapman & Hall, 1993, pp. 40-123.
-
"Statistical Aspects of Neural Networks," in Networks and Chaos - Statistical and Probabilistic Aspects, O. E. Barndorff-Nielsen, J. L. Jensen, and W. S. Kendall, Eds. London, U.K.: Chapman & Hall, 1993
-
-
Ripley, A.1
-
140
-
-
33749882155
-
-
1994.
-
_, "Neural networks and related methods for classification," J. R. Statist. Soc. B, vol. 56, no. 3, pp. 409-456, 1994.
-
"Neural Networks and Related Methods for Classification," J. R. Statist. Soc. B, Vol. 56, No. 3, Pp. 409-456
-
-
-
142
-
-
0027259956
-
-
1993.
-
A. Roy, L. S. Kim, and S. Mukhopadhyay, "A polynomial time algorithm for the construction and training of a class of multilayer perceptrons," Neural Networks, vol. 6, pp. 535-545, 1993.
-
L. S. Kim, and S. Mukhopadhyay, "A Polynomial Time Algorithm for the Construction and Training of a Class of Multilayer Perceptrons," Neural Networks, Vol. 6, Pp. 535-545
-
-
Roy, A.1
-
143
-
-
0025670892
-
-
1990.
-
D. W. Ruck, S. K. Rogers, M. Kabrisky, M. E. Oxley, and B. W. Suter, "The multilayer perceptron as an approximation to a Bayes optimal discriminant function," IEEE Trans. Neural Networks, vol. 1, no. 4, pp. 296-298, 1990.
-
S. K. Rogers, M. Kabrisky, M. E. Oxley, and B. W. Suter, "The Multilayer Perceptron as an Approximation to a Bayes Optimal Discriminant Function," IEEE Trans. Neural Networks, Vol. 1, No. 4, Pp. 296-298
-
-
Ruck, D.W.1
-
144
-
-
33749964645
-
-
pp. 1-34.
-
D. E. Rumelhart, R. Durbin, R. Golden, and Y. Chauvin, "Backpropagation: The basic theory," in Backpropagation: Theory, Architectures, and Applications, Y. Chauvin and D. E. Rumelhart, Eds. Hillsdale, NJ: LEA, 1995, pp. 1-34.
-
R. Durbin, R. Golden, and Y. Chauvin, "Backpropagation: the Basic Theory," in Backpropagation: Theory, Architectures, and Applications, Y. Chauvin and D. E. Rumelhart, Eds. Hillsdale, NJ: LEA, 1995
-
-
Rumelhart, D.E.1
-
146
-
-
0029018430
-
-
1995.
-
M. S. Sanchez and L. A. Sarabia, "Efficiency of multi-layered feed-forward neural networks on classification in relation to linear discriminant analysis, quadratic discriminant analysis and regularized discriminant analysis," Chemometr. Intell. Labor. Syst., vol. 28, pp. 287-303, 1995.
-
"Efficiency of Multi-layered Feed-forward Neural Networks on Classification in Relation to Linear Discriminant Analysis, Quadratic Discriminant Analysis and Regularized Discriminant Analysis," Chemometr. Intell. Labor. Syst., Vol. 28, Pp. 287-303
-
-
Sanchez, M.S.1
Sarabia, L.A.2
-
148
-
-
0031127591
-
-
1997.
-
C. Schittenkopf, F. Deco, and W. Brauer, "Two strategies to avoid overfitting in feedforward networks," Neural Networks, vol. 10, pp. 505-516, 1997.
-
F. Deco, and W. Brauer, "Two Strategies to Avoid Overfitting in Feedforward Networks," Neural Networks, Vol. 10, Pp. 505-516
-
-
Schittenkopf, C.1
-
149
-
-
0030159465
-
-
1996.
-
M. Schumacher, R. Robner, and W. Vach, "Neural networks and logistic regression: Part I," Comput. Statist. Data Anal., vol. 21, pp. 661-682, 1996.
-
R. Robner, and W. Vach, "Neural Networks and Logistic Regression: Part I," Comput. Statist. Data Anal., Vol. 21, Pp. 661-682
-
-
Schumacher, M.1
-
150
-
-
33749878010
-
-
pp. 325-340.
-
T. K. Sen, R. Oliver, and N. Sen, "Predicting corporate mergers," in Neural Networks in the Capital Markets, A. P. Refenes, Ed. New York: Wiley, 1995, pp. 325-340.
-
R. Oliver, and N. Sen, "Predicting Corporate Mergers," in Neural Networks in the Capital Markets, A. P. Refenes, Ed. New York: Wiley, 1995
-
-
Sen, T.K.1
-
151
-
-
0025536869
-
-
pp. 63-68.
-
I. Sethi and M. Otten, "Comparison between entropy net and decision tree classifiers," in Proc. Int. Joint Conf. Neural Networks, vol. 3, 1990, pp. 63-68.
-
"Comparison between Entropy Net and Decision Tree Classifiers," in Proc. Int. Joint Conf. Neural Networks, Vol. 3, 1990
-
-
Sethi, I.1
Otten, M.2
-
152
-
-
0031140388
-
-
1997.
-
R. Setiono and H. Liu, "Neural-network feature selector," IEEE Trans. Neural Networks, vol. 8, no. 3, pp. 654-662, 1997.
-
"Neural-network Feature Selector," IEEE Trans. Neural Networks, Vol. 8, No. 3, Pp. 654-662
-
-
Setiono, R.1
Liu, H.2
-
153
-
-
33749941482
-
-
pp. 1-30.
-
A. J. C. Sharkey, "Multi-net systems," in Combining Artificial Neural Nets: Ensemble and Modular Multi-Net Systems, A. J. C. Sharkey, Ed. Berlin, Germany: Springer-Verlag, 1999, pp. 1-30.
-
"Multi-net Systems," in Combining Artificial Neural Nets: Ensemble and Modular Multi-Net Systems, A. J. C. Sharkey, Ed. Berlin, Germany: Springer-Verlag, 1999
-
-
Sharkey, A.J.C.1
-
154
-
-
0031224574
-
-
1997.
-
A. J. C. Sharkey and N. E. Sharkey, "Combining diverse neural nets," Knowl. Eng. Rev., vol. 12, no. 3, pp. 231-247, 1997.
-
"Combining Diverse Neural Nets," Knowl. Eng. Rev., Vol. 12, No. 3, Pp. 231-247
-
-
Sharkey, A.J.C.1
Sharkey, N.E.2
-
155
-
-
0026119038
-
-
1991.
-
J. W. Shavlik, R. J. Mooney, and G. G. Towell, "Symbolic and neural learning algorithms: An empirical comparison," Mach. Learn., vol. 6, pp. 111-144, 1991.
-
R. J. Mooney, and G. G. Towell, "Symbolic and Neural Learning Algorithms: an Empirical Comparison," Mach. Learn., Vol. 6, Pp. 111-144
-
-
Shavlik, J.W.1
-
157
-
-
0026017007
-
-
1991.
-
J. Sietsma and R. Dow, "Creating artificial neural networks that generalize," Neural Networks, vol. 4, pp. 67-79, 1991.
-
"Creating Artificial Neural Networks that Generalize," Neural Networks, Vol. 4, Pp. 67-79
-
-
Sietsma, J.1
Dow, R.2
-
158
-
-
0031120498
-
-
1997.
-
J. M. Steppe and K. W. Bauer, "Feature saliency measures," Comput. Math. Applicat., vol. 33, pp. 109-126, 1997.
-
"Feature Saliency Measures," Comput. Math. Applicat., Vol. 33, Pp. 109-126
-
-
Steppe, J.M.1
Bauer, K.W.2
-
160
-
-
0030190724
-
-
1996.
-
J. M. Steppe, K. W. Bauer, and S. K. Rogers, "Integrated feature and architecture selection," IEEE Trans. Neural Networks, vol. 7, pp. 1007-1014, 1996.
-
K. W. Bauer, and S. K. Rogers, "Integrated Feature and Architecture Selection," IEEE Trans. Neural Networks, Vol. 7, Pp. 1007-1014
-
-
Steppe, J.M.1
-
161
-
-
0027656711
-
-
1993.
-
V. Subramanian, M. S. Hung, and M. Y. Hu, "An experimental evaluation of neural networks for classification," Comput. Oper. Res., vol. 20, pp. 769-782, 1993.
-
M. S. Hung, and M. Y. Hu, "An Experimental Evaluation of Neural Networks for Classification," Comput. Oper. Res., Vol. 20, Pp. 769-782
-
-
Subramanian, V.1
-
163
-
-
0025531195
-
-
pp. 157-162.
-
A. J. Surkan and J. C. Singleton, "Neural networks for bond rating improved by multiple hidden layers," in Proc. IEEE Int. Joint Conf. Neural Networks, vol. 2, San Diego, CA, 1990, pp. 157-162.
-
"Neural Networks for Bond Rating Improved by Multiple Hidden Layers," in Proc. IEEE Int. Joint Conf. Neural Networks, Vol. 2, San Diego, CA, 1990
-
-
Surkan, A.J.1
Singleton, J.C.2
-
164
-
-
33747803073
-
-
1992.
-
H. Szu, B. Telfer, and S. Kadambe, "Neural network adaptive wavelets for signal representation and classification," Opt. Eng., vol. 31, no. 9, pp. 1907-1916, 1992.
-
B. Telfer, and S. Kadambe, "Neural Network Adaptive Wavelets for Signal Representation and Classification," Opt. Eng., Vol. 31, No. 9, Pp. 1907-1916
-
-
Szu, H.1
-
165
-
-
0000303411
-
-
1994.
-
H. Szu, X. Y. Yang, B. Telfer, and Y. Sheng, "Neural network and wavelet transform for scale-invariant data classification," Phys. Rev., vol. 48, no. 2, pp. 1497-1501, 1994.
-
X. Y. Yang, B. Telfer, and Y. Sheng, "Neural Network and Wavelet Transform for Scale-invariant Data Classification," Phys. Rev., Vol. 48, No. 2, Pp. 1497-1501
-
-
Szu, H.1
-
166
-
-
0030176382
-
-
1996.
-
H. Szu, B. Telfer, and J. Garcia, "Wavelet transforms and neural networks for compression and recognition," Neural Networks, vol. 9, pp. 695-708, 1996.
-
B. Telfer, and J. Garcia, "Wavelet Transforms and Neural Networks for Compression and Recognition," Neural Networks, Vol. 9, Pp. 695-708
-
-
Szu, H.1
-
167
-
-
84997479670
-
-
1992.
-
K. Y. Tam and M. Y. Kiang, "Managerial application of neural networks: The case of bank failure predictions," Manage. Sci., vol. 38, no. 7, pp. 926-947, 1992.
-
"Managerial Application of Neural Networks: the Case of Bank Failure Predictions," Manage. Sci., Vol. 38, No. 7, Pp. 926-947
-
-
Tam, K.Y.1
Kiang, M.Y.2
-
168
-
-
33749944063
-
-
1996.
-
R. Tibshirani, "Bias, variance and prediction error for classification rules," Dept. Statist., Univ. Toronto, Toronto, ON, Canada, Tech. Rep., 1996.
-
"Bias, Variance and Prediction Error for Classification Rules," Dept. Statist., Univ. Toronto, Toronto, ON, Canada, Tech. Rep.
-
-
Tibshirani, R.1
-
169
-
-
0032208720
-
-
1998.
-
A. B. Tickle, R. Andrews, M. Golea, and J. Diederich, "The truth will come to light: Directions and challenges in extracting the knowledge embedded within trained artificial neural networks," IEEE Trans. Neural Networks, vol. 9, pp. 1057-1068, 1998.
-
R. Andrews, M. Golea, and J. Diederich, "The Truth Will Come to Light: Directions and Challenges in Extracting the Knowledge Embedded within Trained Artificial Neural Networks," IEEE Trans. Neural Networks, Vol. 9, Pp. 1057-1068
-
-
Tickle, A.B.1
-
171
-
-
0030085913
-
-
1996.
-
K. Turner and J. Ghosh, "Analysis of decision boundaries in linearly combined neural classifiers," Pattern Recognit., vol. 29, no. 2, pp. 341-348, 1996.
-
"Analysis of Decision Boundaries in Linearly Combined Neural Classifiers," Pattern Recognit., Vol. 29, No. 2, Pp. 341-348
-
-
Turner, K.1
Ghosh, J.2
-
176
-
-
0030161691
-
-
1996.
-
W. Vach, R. Robner, and M. Schumacher, "Neural networks and logistic regression: Part II," Comput. Statist. Data Anal., vol. 21, pp. 683-701, 1996.
-
R. Robner, and M. Schumacher, "Neural Networks and Logistic Regression: Part II," Comput. Statist. Data Anal., Vol. 21, Pp. 683-701
-
-
Vach, W.1
-
177
-
-
0033272085
-
-
1999.
-
B. L. Victor and G. P. Zhang, "The effect of misclassification costs on neural network classifiers," Decision Sci., vol. 30, pp. 659-682, 1999.
-
"The Effect of Misclassification Costs on Neural Network Classifiers," Decision Sci., Vol. 30, Pp. 659-682
-
-
Victor, B.L.1
Zhang, G.P.2
-
178
-
-
0025597157
-
-
1990.
-
E. Wan, "Neural network classification: A Bayesian interpretation," IEEE Trans. Neural Networks, vol. 1, no. 4, pp. 303-305, 1990.
-
"Neural Network Classification: a Bayesian Interpretation," IEEE Trans. Neural Networks, Vol. 1, No. 4, Pp. 303-305
-
-
Wan, E.1
-
179
-
-
33749904510
-
-
1995.
-
S. Wang, "The unpredictability of standard back propagation neural networks in classification applications," Manage. Sci., vol. 41, no. 3, pp. 555-559, 1995.
-
"The Unpredictability of Standard Back Propagation Neural Networks in Classification Applications," Manage. Sci., Vol. 41, No. 3, Pp. 555-559
-
-
Wang, S.1
-
180
-
-
0028319326
-
-
1994.
-
Z. Wang, C. D. Massimo, M. T. Tham, and A. J. Morris, "A procedure for determining the topology of multilayer feedforward neural networks," Neural Networks, vol. 7, pp. 291-300, 1994.
-
C. D. Massimo, M. T. Tham, and A. J. Morris, "A Procedure for Determining the Topology of Multilayer Feedforward Neural Networks," Neural Networks, Vol. 7, Pp. 291-300
-
-
Wang, Z.1
-
181
-
-
0025208603
-
-
1990.
-
A. R. Webb and D. Lowe, "The optimized internal representation of multilayer classifier networks performs nonlinear discriminant analysis," Neural Networks, vol. 3, no. 4, pp. 367-375, 1990.
-
"The Optimized Internal Representation of Multilayer Classifier Networks Performs Nonlinear Discriminant Analysis," Neural Networks, Vol. 3, No. 4, Pp. 367-375
-
-
Webb, A.R.1
Lowe, D.2
-
182
-
-
33749902918
-
-
1990.
-
A. Weigend, D. Rumelhart, and B. Huberman, "Predicting the future: A connectionist approach," Int. J. Neural Syst., vol. 3, pp. 193-209, 1990.
-
D. Rumelhart, and B. Huberman, "Predicting the Future: a Connectionist Approach," Int. J. Neural Syst., Vol. 3, Pp. 193-209
-
-
Weigend, A.1
-
183
-
-
33749918393
-
-
pp. 335-342.
-
A. Weigend, "On overfitting and the effective number of hidden units," in Proc. 1993 Connectionist Models Summer School, P. Smolensky, D. S. Touretzky, J. L. Elman, and A. S. Weigend, Eds. Hillsdale, NJ, 1994, pp. 335-342.
-
"On Overfitting and the Effective Number of Hidden Units," in Proc. 1993 Connectionist Models Summer School, P. Smolensky, D. S. Touretzky, J. L. Elman, and A. S. Weigend, Eds. Hillsdale, NJ, 1994
-
-
Weigend, A.1
-
186
-
-
0028387642
-
-
1994.
-
B. Widrow, D. E. Rumelhard, and M. A. Lehr, "Neural networks: Applications in industry, business and science," Commun. ACM, vol. 37, pp. 93-105, 1994.
-
D. E. Rumelhard, and M. A. Lehr, "Neural Networks: Applications in Industry, Business and Science," Commun. ACM, Vol. 37, Pp. 93-105
-
-
Widrow, B.1
-
187
-
-
0028444978
-
-
1994.
-
R. L. Wilson and R. Sharda, "Bankruptcy prediction using neural networks," Decision Support Syst., vol. 11, pp. 545-557, 1994.
-
"Bankruptcy Prediction Using Neural Networks," Decision Support Syst., Vol. 11, Pp. 545-557
-
-
Wilson, R.L.1
Sharda, R.2
-
189
-
-
0026692226
-
-
1992.
-
_, "Stacked generalization," Neural Networks, vol. 5, no. 2, pp. 241-259, 1992.
-
"Stacked Generalization," Neural Networks, Vol. 5, No. 2, Pp. 241-259
-
-
-
191
-
-
33749942897
-
-
1992.
-
L. Xu, "Recent advances on techniques of static feedforward networks with supervised learning," Int. J. Neural Syst., vol. 3, no. 3, pp. 253-290, 1992.
-
"Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning," Int. J. Neural Syst., Vol. 3, No. 3, Pp. 253-290
-
-
Xu, L.1
-
192
-
-
0026860706
-
-
1992.
-
L. Xu, A. Krzyzak, and C. Y. Suen, "Methods of combing multiple classifiers and their applications to handwriting recognition," IEEE Trans. Syst., Man, Cybern., vol. 22, pp. 418-435, 1992.
-
A. Krzyzak, and C. Y. Suen, "Methods of Combing Multiple Classifiers and Their Applications to Handwriting Recognition," IEEE Trans. Syst., Man, Cybern., Vol. 22, Pp. 418-435
-
-
Xu, L.1
-
194
-
-
0032022729
-
-
1998.
-
J.-L. Yuan and T. L. Fine, "Neural-network design for small training sets of high dimension," IEEE Trans. Neural Networks, vol. 9, pp. 266-280, 1998.
-
"Neural-network Design for Small Training Sets of High Dimension," IEEE Trans. Neural Networks, Vol. 9, Pp. 266-280
-
-
Yuan, J.-L.1
Fine, T.L.2
-
195
-
-
0032640524
-
-
1999.
-
G. Zhang, M. Y. Hu, E. B. Patuwo, and D. Indro, "Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis," Eur. J. Oper. Res., vol. 116, pp. 16-32, 1999.
-
M. Y. Hu, E. B. Patuwo, and D. Indro, "Artificial Neural Networks in Bankruptcy Prediction: General Framework and Cross-validation Analysis," Eur. J. Oper. Res., Vol. 116, Pp. 16-32
-
-
Zhang, G.1
-
196
-
-
0026955103
-
-
1992.
-
Q. Zhang and A. Benveniste, "Wavelet networks," IEEE Trans. Neural Networks, vol. 3, pp. 889-898, 1992.
-
"Wavelet Networks," IEEE Trans. Neural Networks, Vol. 3, Pp. 889-898
-
-
Zhang, Q.1
Benveniste, A.2
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