-
1
-
-
84980104458
-
Financial ratios, discriminant analysis and the prediction of corporate bankruptcy
-
Altman E.J. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. Journal of Finance 23 4 (1968) 589-609
-
(1968)
Journal of Finance
, vol.23
, Issue.4
, pp. 589-609
-
-
Altman, E.J.1
-
2
-
-
43949151078
-
Corporate distress diagnosis: comparisons using linear discriminant analysis and neural networks
-
Altman E.I., Marco G.V., and Varetto F. Corporate distress diagnosis: comparisons using linear discriminant analysis and neural networks. Journal of Banking and Finance 18 (1994) 505-529
-
(1994)
Journal of Banking and Finance
, vol.18
, pp. 505-529
-
-
Altman, E.I.1
Marco, G.V.2
Varetto, F.3
-
3
-
-
58349114392
-
-
Balcaen, S., & Ooghe, H. (2004). 35 years of studies on business failure: an overview of the classical statistical methodologies and their related problems. Working Paper, No. 248, Department of Accountancy and Corporate Finance, Ghent University, Belgium.
-
Balcaen, S., & Ooghe, H. (2004). 35 years of studies on business failure: an overview of the classical statistical methodologies and their related problems. Working Paper, No. 248, Department of Accountancy and Corporate Finance, Ghent University, Belgium.
-
-
-
-
4
-
-
0032645080
-
An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
-
Bauer E., and Kohavi R. An empirical comparison of voting classification algorithms: Bagging, boosting, and variants. Machine Learning 36 1-2 (1999) 105-139
-
(1999)
Machine Learning
, vol.36
, Issue.1-2
, pp. 105-139
-
-
Bauer, E.1
Kohavi, R.2
-
5
-
-
0002554419
-
Financial ratios as predictors of failure
-
Beaver W. Financial ratios as predictors of failure. Journal of Accounting Research 4 (1996) 71-111
-
(1996)
Journal of Accounting Research
, vol.4
, pp. 71-111
-
-
Beaver, W.1
-
6
-
-
0030211964
-
Bagging predictors
-
Breiman L. Bagging predictors. Machine Learning 24 2 (1996) 123-140
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
7
-
-
0003802343
-
-
Wadsworth, Monterey, CA
-
Breiman L., Friedman J.H., Olshen R.A., and Stone C.J. Classification and regression trees (1984), Wadsworth, Monterey, CA
-
(1984)
Classification and regression trees
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, C.J.4
-
8
-
-
84977404808
-
Pitfalls in the application of discriminant analysis in business, finance and economics
-
Eisenbeis R.A. Pitfalls in the application of discriminant analysis in business, finance and economics. Journal of Finance (1977) 75-900
-
(1977)
Journal of Finance
, pp. 75-900
-
-
Eisenbeis, R.A.1
-
9
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Freund Y., and Schapire R.E. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences 55 1 (1997) 119-139
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
10
-
-
58349084615
-
-
Hung, C., Chen, J.-H., Wermter, S. (2007). Hybrid probability-based ensembles for bankruptcy prediction. In Proceedings of international conference on business and information. July 11-13, Tokyo, Japan.
-
Hung, C., Chen, J.-H., Wermter, S. (2007). Hybrid probability-based ensembles for bankruptcy prediction. In Proceedings of international conference on business and information. July 11-13, Tokyo, Japan.
-
-
-
-
11
-
-
0031199479
-
Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis
-
Jo H., Han I., and Lee H. Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis. Expert Systems with Applications 13 2 (1997) 97-108
-
(1997)
Expert Systems with Applications
, vol.13
, Issue.2
, pp. 97-108
-
-
Jo, H.1
Han, I.2
Lee, H.3
-
12
-
-
0346591081
-
A neural network approach to the prediction of going concern status
-
Koh H.C., and Tan S.S. A neural network approach to the prediction of going concern status. Accounting and Business Research 29 3 (1999) 211-216
-
(1999)
Accounting and Business Research
, vol.29
, Issue.3
, pp. 211-216
-
-
Koh, H.C.1
Tan, S.S.2
-
13
-
-
0001290841
-
Glossary of terms
-
Kohavi R., and Foster P. Glossary of terms. Machine Learning 30 23 (1998) 271-274
-
(1998)
Machine Learning
, vol.30
, Issue.23
, pp. 271-274
-
-
Kohavi, R.1
Foster, P.2
-
15
-
-
17844363481
-
Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters
-
Min J.H., and Lee Y.-C. Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters. Expert Systems with Applications 28 4 (2005) 603-614
-
(2005)
Expert Systems with Applications
, vol.28
, Issue.4
, pp. 603-614
-
-
Min, J.H.1
Lee, Y.-C.2
-
17
-
-
0025559251
-
-
Odom, M., & Sharda, R. (1990). A neural network model for bankruptcy prediction. In Proceedings of international joint conference on neural networks (pp. 163-168).
-
Odom, M., & Sharda, R. (1990). A neural network model for bankruptcy prediction. In Proceedings of international joint conference on neural networks (pp. 163-168).
-
-
-
-
18
-
-
0000666375
-
Financial ratios and the probabilistic prediction of bankruptcy
-
Ohlson J. Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research 18 1 (1980) 109-131
-
(1980)
Journal of Accounting Research
, vol.18
, Issue.1
, pp. 109-131
-
-
Ohlson, J.1
-
19
-
-
0003120218
-
Fast training of support vector machines using sequential minimal optimization
-
Schoelkopf B., Burges C.J.C., and Smola A.J. (Eds), MIT Press, Cambridge, MA
-
Platt J. Fast training of support vector machines using sequential minimal optimization. In: Schoelkopf B., Burges C.J.C., and Smola A.J. (Eds). Advances in kernel methods - support vector learning (1999), MIT Press, Cambridge, MA 185-208
-
(1999)
Advances in kernel methods - support vector learning
, pp. 185-208
-
-
Platt, J.1
-
21
-
-
33744584654
-
Induction of decision trees
-
Quinlan R. Induction of decision trees. Machine Learning 1 1 (1986) 81-106
-
(1986)
Machine Learning
, vol.1
, Issue.1
, pp. 81-106
-
-
Quinlan, R.1
-
23
-
-
0000646059
-
Learning internal representations by error propagation
-
Rumelhart D.E., and McClelland J.L. (Eds), MIT Press, Cambridge, MA
-
Rumelhart D.E., Hinton G.E., and Williams R.J. Learning internal representations by error propagation. In: Rumelhart D.E., and McClelland J.L. (Eds). Parallel distributed processing: Explorations in the microstructure of cognition, foundation Vol. 1 (1986), MIT Press, Cambridge, MA 318-362
-
(1986)
Parallel distributed processing: Explorations in the microstructure of cognition, foundation
, vol.1
, pp. 318-362
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
24
-
-
9244259665
-
An application of support vector machines in bankruptcy prediction model
-
Shin K.-S., Lee T.S., and Kim H.-J. An application of support vector machines in bankruptcy prediction model. Expert Systems with Applications 28 1 (2005) 127-135
-
(2005)
Expert Systems with Applications
, vol.28
, Issue.1
, pp. 127-135
-
-
Shin, K.-S.1
Lee, T.S.2
Kim, H.-J.3
-
25
-
-
84997479670
-
Managerial applications of neural networks: The case of bank
-
Tam K., and Kiang M. Managerial applications of neural networks: The case of bank. Management Science 38 7 (1992) 926-947
-
(1992)
Management Science
, vol.38
, Issue.7
, pp. 926-947
-
-
Tam, K.1
Kiang, M.2
-
26
-
-
38649113538
-
Using neural network ensembles for bankruptcy prediction and credit scoring
-
Tsai C.-F., and Wu J.-W. Using neural network ensembles for bankruptcy prediction and credit scoring. Expert Systems with Applications 36 2 (2008)
-
(2008)
Expert Systems with Applications
, vol.36
, Issue.2
-
-
Tsai, C.-F.1
Wu, J.-W.2
-
27
-
-
34249753618
-
Support-vector networks
-
Vapnik V. Support-vector networks. Machine Learning 20 3 (1995) 273-297
-
(1995)
Machine Learning
, vol.20
, Issue.3
, pp. 273-297
-
-
Vapnik, V.1
-
28
-
-
13544268431
-
Neural network ensemble strategies for financial decision applications
-
West D., Dellana S., and Qian J. Neural network ensemble strategies for financial decision applications. Computers & Operations Research 32 (2005) 2543-2559
-
(2005)
Computers & Operations Research
, vol.32
, pp. 2543-2559
-
-
West, D.1
Dellana, S.2
Qian, J.3
-
29
-
-
58349112905
-
-
Wieslaw, P. (2004). Application of discrete predicting structures in an early warning expert system for financial distress. Ph.D. Thesis. Szczecin: Szczecin Technical University.
-
Wieslaw, P. (2004). Application of discrete predicting structures in an early warning expert system for financial distress. Ph.D. Thesis. Szczecin: Szczecin Technical University.
-
-
-
-
30
-
-
85014149758
-
-
Elsevier, Morgan Kaufmann Publishers 2005
-
Witten I.H., and Frank E. Data mining (2005), Elsevier, Morgan Kaufmann Publishers 2005
-
(2005)
Data mining
-
-
Witten, I.H.1
Frank, E.2
-
31
-
-
0036567392
-
Ensembling neural networks: Many could be better than all
-
Zhou Z.-H., Wu J., and Tang W. Ensembling neural networks: Many could be better than all. Artificial Intelligence 137 1-2 (2002) 239-263
-
(2002)
Artificial Intelligence
, vol.137
, Issue.1-2
, pp. 239-263
-
-
Zhou, Z.-H.1
Wu, J.2
Tang, W.3
-
32
-
-
0001953906
-
Methodological issues related to the estimation of financial distress prediction models
-
Zmijewski M. Methodological issues related to the estimation of financial distress prediction models. Journal of Accounting Research 22 1 (1984) 59-82
-
(1984)
Journal of Accounting Research
, vol.22
, Issue.1
, pp. 59-82
-
-
Zmijewski, M.1
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