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J. Brian Gray
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Journal Articles
- 2016
- [j10]Waldyn G. Martinez, J. Brian Gray:
Noise peeling methods to improve boosting algorithms. Comput. Stat. Data Anal. 93: 483-497 (2016) - 2015
- [j9]Dong-Yop Oh, J. Brian Gray:
A graphic method for choosing the best parameter value of margins for maximising in GA-Ensemble. Int. J. Serv. Stand. 10(3): 89-102 (2015) - 2014
- [j8]Bruce E. Barrett, J. Brian Gray:
Efficient computation for the Poisson binomial distribution. Comput. Stat. 29(6): 1469-1479 (2014) - 2013
- [j7]Dong-Yop Oh, J. Brian Gray:
GA-Ensemble: a genetic algorithm for robust ensembles. Comput. Stat. 28(5): 2333-2347 (2013) - 2009
- [j6]Eric Brandon Howington, J. Brian Gray:
Matrix-Based Genetic Algorithm for Computing the Minimum Volume Ellipsoid. IEEE Trans. Evol. Comput. 13(6): 1247-1260 (2009) - 2008
- [j5]J. Brian Gray, Guangzhe Fan:
Classification tree analysis using TARGET. Comput. Stat. Data Anal. 52(3): 1362-1372 (2008) - 2002
- [j4]J. Brian Gray:
Introduction to Linear Regression Analysis. Technometrics 44(2): 191-192 (2002) - 2000
- [j3]J. Brian Gray:
Applied Regression Including Computing and Graphics. Technometrics 42(4): 425-427 (2000) - 1996
- [j2]Bruce E. Barrett, J. Brian Gray:
Computation of determinantal subset influence in regression. Stat. Comput. 6(2): 131-138 (1996) - 1993
- [j1]J. Brian Gray:
Exploratory and Multivariate Data Analysis (Michel Jambu). SIAM Rev. 35(3): 521-524 (1993)
Informal and Other Publications
- 2019
- [i2]Waldyn G. Martinez, J. Brian Gray:
On the Current State of Research in Explaining Ensemble Performance Using Margins. CoRR abs/1906.03123 (2019) - [i1]Waldyn G. Martinez, J. Brian Gray:
On the Insufficiency of the Large Margins Theory in Explaining the Performance of Ensemble Methods. CoRR abs/1906.04063 (2019)
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