-
2
-
-
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 (1998) 105-139
-
(1998)
Machine Learning
, vol.36
, pp. 105-139
-
-
Bauer, E.1
Kohavi, R.2
-
3
-
-
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
-
4
-
-
0035478854
-
Random forests
-
Breiman L. Random forests. Machine Learning 45 1 (2001) 5-32
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
6
-
-
85050550846
-
Abstract interpretation: A unified lattice model for static analysis of programs by construction or approximation of fixpoints
-
P. Cousot, R. Cousot, Abstract interpretation: a unified lattice model for static analysis of programs by construction or approximation of fixpoints, in: Proceedings of ACM Symposium on Principles of Programming Languages, January 1977, pp. 238-252
-
(1977)
Proceedings of ACM Symposium on Principles of Programming Languages, January
, pp. 238-252
-
-
Cousot, P.1
Cousot, R.2
-
9
-
-
0345438685
-
ROC graphs: Notes and practical considerations for data mining researchers
-
Technical Report HPL-2003-4, HP Labs, 2003
-
T. Fawcett, ROC graphs: Notes and practical considerations for data mining researchers, Technical Report HPL-2003-4, HP Labs, 2003
-
-
-
Fawcett, T.1
-
10
-
-
0035470889
-
Greedy function approximation: a gradient boosting machine
-
Friedman J.H. Greedy function approximation: a gradient boosting machine. Annals of Statistics 29 (2001) 1189-1232
-
(2001)
Annals of Statistics
, vol.29
, pp. 1189-1232
-
-
Friedman, J.H.1
-
11
-
-
0003684449
-
-
Springer, Berlin
-
Hasite T., Tibshirani R., and Friedman J. The Elements of Statistical Learning: Data Mining, Inference and Prediction (2001), Springer, Berlin
-
(2001)
The Elements of Statistical Learning: Data Mining, Inference and Prediction
-
-
Hasite, T.1
Tibshirani, R.2
Friedman, J.3
-
12
-
-
33646050367
-
Taming false alarms from a domain-unaware C analyzer by a Bayesian statistical post analysis
-
SAS'05: 12th Annual International Static Analysis Symposium, Springer, Berlin
-
Jung Y., Kim J., Shin J., and Yi K. Taming false alarms from a domain-unaware C analyzer by a Bayesian statistical post analysis. SAS'05: 12th Annual International Static Analysis Symposium. Lecture Notes in Computer Science vol. 3672 (2005), Springer, Berlin 203-217
-
(2005)
Lecture Notes in Computer Science
, vol.3672
, pp. 203-217
-
-
Jung, Y.1
Kim, J.2
Shin, J.3
Yi, K.4
-
13
-
-
35248882461
-
Z-ranking: Using statistical analysis to counter the impact of static analysis approximations
-
SAS'03: Proceedings of the 10th Annual International Static Analysis Symposium. Cousot R. (Ed), Springer, Berlin
-
Kremenek T., and Engler D. Z-ranking: Using statistical analysis to counter the impact of static analysis approximations. In: Cousot R. (Ed). SAS'03: Proceedings of the 10th Annual International Static Analysis Symposium. Lecture Notes in Computer Science vol. 2694 (2003), Springer, Berlin 295-315
-
(2003)
Lecture Notes in Computer Science
, vol.2694
, pp. 295-315
-
-
Kremenek, T.1
Engler, D.2
-
15
-
-
33846991416
-
An empirical comparison of three boosting algorithms on real data sets with artificial class noise
-
MCS 2003: 4th International Workshop on Multiple Classifier Systems, Springer, Berlin
-
McDonald R.A., Hand D.J., and Eckley I.A. An empirical comparison of three boosting algorithms on real data sets with artificial class noise. MCS 2003: 4th International Workshop on Multiple Classifier Systems. Lecture Notes in Computer Science vol. 2709 (2003), Springer, Berlin 35-44
-
(2003)
Lecture Notes in Computer Science
, vol.2709
, pp. 35-44
-
-
McDonald, R.A.1
Hand, D.J.2
Eckley, I.A.3
-
18
-
-
0141738784
-
Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data
-
Wu B., Abbott T., Fishman D., McMurray W., Mor G., Stone K., Ward D., Williams K., and Zhao H. Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data. Bioinformatics 19 (September 2003) 1636-1643
-
(2003)
Bioinformatics
, vol.19
, pp. 1636-1643
-
-
Wu, B.1
Abbott, T.2
Fishman, D.3
McMurray, W.4
Mor, G.5
Stone, K.6
Ward, D.7
Williams, K.8
Zhao, H.9
|