| S. Bhattacharyya, "Direct marketing performance modeling using genetic learning," INFORMS J. Comput., vol. 11, no. 3, Summer, 1999. |
....and Distribution, 92] IEEE Transaction on Power Systems, 174] IEEE Transactions on Power Systems, 49, 87, 89, 91] IEEE Transactions on Semiconductor Manufacturing, 102] IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, 215] INFORMS J. Comput. USA) [179] Int. J. Computer Maths. 27] Int. J. Intell. Syst. Account. Financ. Manage. UK) 96] Int. J. Prod. Econ. Netherlands) 177] Int. J. Prod. Res. UK) 166] International Journal of Computer Integrated Manufacturing, 170] International Journal of Human Computer Interactions, 233] ....
....N. 124] Back, Barbro, 40, 80, 114] Bagchi, T. P. 81] Bakirtzis, A. G. 12] Balakrishnan, P. V. 101] Baskaran, Subbiah, 28] Bassanini, A. 205] Bauer, Richard J. 52] Bauer, Jr. R. J. 13, 204] Beaumont, P. M. 41] Beltratti, Andrea, 206] Berry, R. H. 196] Bhattacharyya, S. [179] Biethahn, J org, 76, 207] Birchenhall, C. 62] Bradshaw, P. T. 41] Broekmeulen, Rob A. C. M. 226] Burkhardt, Diana, 256] Burns, Scott A. 131] Campbell, John A. 17] Cao, Y. J. 183] Caskey, Kevin, 115] Castillo, Luis, 167] Castillo, O. 167] Cede no, Walter, 236] Cesare, ....
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S. Bhattacharyya. Direct marketing performance modeling using genetic algorithms. INFORMS J. Comput. (USA), 11(3):248-257, 1999. yCCA92355/99 ga99aBhattach.
....data which can be split into training, control, and testing subsets of adequate size. Schemes for utilizing different subsamples for fitness evaluations in different generations can also be useful in this regard; such resampling mechanisms in fitness evaluation have been reported to be useful in [4] and [20] Future research should also consider alternate fitness function formulations to further control for overfit. Future work can also investigate enhanced representations and genetic search features. The use of templates seeking to capture different trading behaviors such as trend ....
S. Bhattacharyya, "Direct marketing performance modeling using genetic learning," INFORMS J. Comput., vol. 11, no. 3, Summer, 1999.
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