-
1
-
-
0034133182
-
Classifier performance assessment
-
N. Adams and D. Hand, “Classifier performance assessment,” Neural Computation, vol. 12, no. 2, pp. 305-311, 2000.
-
(2000)
Neural Computation
, vol.12
, Issue.2
, pp. 305-311
-
-
Adams, N.1
Hand, D.2
-
2
-
-
0013230623
-
An automated melanoma diagnosis system
-
(B. Pham, M. Braun, A. Maeder, and M. Eckert, eds.), SPIE
-
L. Bischof, H. Talbot, E. Breen, D. Lovell, D. Chan, G. Stone, S. Menzies, A. Gutenev, and R. Caffin, “An automated melanoma diagnosis system,” in New Approaches in Medical Image Analysis (B. Pham, M. Braun, A. Maeder, and M. Eckert, eds.), SPIE, 1999.
-
(1999)
New Approaches in Medical Image Analysis
-
-
Bischof, L.1
Talbot, H.2
Breen, E.3
Lovell, D.4
Chan, D.5
Stone, G.6
Menzies, S.7
Gutenev, A.8
Caffin, R.9
-
3
-
-
84974681748
-
Exploiting classifier combination for early melanoma diagnosis support
-
(R. de Man- taras and E. Plaza, eds.), (Berlin), Springer-Verlag
-
E. Blanzieri, C. Eccher, S. Forti, and A. Sboner, “Exploiting classifier combination for early melanoma diagnosis support,” in Proceedings of ECML-2000 (R. de Man- taras and E. Plaza, eds.), (Berlin), pp. 55-62, Springer-Verlag, 2000.
-
(2000)
Proceedings of ECML-2000
, pp. 55-62
-
-
Blanzieri, E.1
Eccher, C.2
Forti, S.3
Sboner, A.4
-
5
-
-
0001963137
-
Combining predictors
-
(A. Sharkey, ed.), (London), Springer-Verlag
-
L. Breiman, “Combining predictors,” in Combining Artificial Neural Nets: Ensemble and Modular Multi-Net Systems (A. Sharkey, ed.), (London), Springer-Verlag, pages 31-50.
-
Combining Artificial Neural Nets: Ensemble and Modular Multi-Net Systems
, pp. 31-50
-
-
Breiman, L.1
-
6
-
-
0034250160
-
An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
-
T. Dietterich, “An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting, and randomization,” Machine Learning, vol. 40, no. 2, pp. 139-158, 2000.
-
(2000)
Machine Learning
, vol.40
, Issue.2
, pp. 139-158
-
-
Dietterich, T.1
-
7
-
-
0013316935
-
Adacost: Misclassification cost-sensitive boosting
-
W. Fan, S. Stolfo, J. Zhang, and P. Chan, “Adacost: Misclassification cost-sensitive boosting,” in Proceedings of ICML-99, 1999.
-
(1999)
Proceedings of ICML-99
-
-
Fan, W.1
Stolfo, S.2
Zhang, J.3
Chan, P.4
-
8
-
-
0031211090
-
A decision-theoretic generalization of online learning and an application to boosting
-
Y. Freund and R. Schapire, “A decision-theoretic generalization of online learning and an application to boosting,” Journal of Computer and System Sciences, vol. 55, no. 1, pp. 119-139, 1997.
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.2
-
9
-
-
0003660631
-
-
tech. rep., Stanford University
-
J. Friedman, T. Hastie, and R. Tibshirani, “Additive logistic regression: a statistical view of boosting,” tech. rep., Stanford University, 1999.
-
(1999)
Additive Logistic Regression: A Statistical View of Boosting
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
10
-
-
84867079959
-
Boosting of tree-based classifiers for predictive risk modeling in gis
-
(J. Kittler and F. Roli, eds.), Amsterdam), Springer
-
C. Furlanello and S. Merler, “Boosting of tree-based classifiers for predictive risk modeling in gis,” in Multiple Classifier Systems (J. Kittler and F. Roli, eds.), vol. 1857, (Amsterdam), Springer, 2000. pages 220-229.
-
(2000)
Multiple Classifier Systems
, vol.1857
, pp. 220-229
-
-
Furlanello, C.1
Merler, S.2
-
11
-
-
84899002132
-
Optimizing classifiers for imbalanced training sets
-
M. Kearns, S. Solla, and D. Cohn, eds.), MIT Press
-
G. Karakoulas and J. Shawe-Taylor, “Optimizing classifiers for imbalanced training sets,” in Advances in Neural Information Processing Systems 11 (M. Kearns, S. Solla, and D. Cohn, eds.), MIT Press, 1999.
-
(1999)
Advances in Neural Information Processing Systems
, vol.11
-
-
Karakoulas, G.1
Shawe-Taylor, J.2
-
12
-
-
0001845032
-
Bootstrap methods for the cost-sensitive evaluation of classifiers
-
Morgan Kaufmann
-
D. Margineantu and T. Dietterich, “Bootstrap methods for the cost-sensitive evaluation of classifiers,” in Proceedings of ICML-2000, pp. 583-590, Morgan Kaufmann, 2000.
-
(2000)
Proceedings of ICML-2000
, pp. 583-590
-
-
Margineantu, D.1
Dietterich, T.2
-
13
-
-
0032280519
-
Boosting the margin: A new explanation for the effectiveness of voting methods
-
R. Schapire, Y. Freund, P. Bartlett, and W. Lee, “Boosting the margin: a new explanation for the effectiveness of voting methods,” The Annals of Statistics, vol. 26, no. 5, pp. 1651-1686, 1998.
-
(1998)
The Annals of Statistics
, vol.26
, Issue.5
, pp. 1651-1686
-
-
Schapire, R.1
Freund, Y.2
Bartlett, P.3
Lee, W.4
-
14
-
-
0002804620
-
A comparative study study of cost-sensitive boosting algorithms
-
(M. Kaufmann, ed.)
-
K. Ting, “A comparative study study of cost-sensitive boosting algorithms,” in Proceedings of ICML-2000 (M. Kaufmann, ed.), pp. 983-990, 2000.
-
(2000)
Proceedings of ICML-2000
, pp. 983-990
-
-
Ting, K.1
|