-
2
-
-
0037413947
-
The central role of receiver operating characteristic (ROC) curves in evaluating tests for the early detection of cancer
-
Baker, S. G. (2003). The central role of receiver operating characteristic (ROC) curves in evaluating tests for the early detection of cancer. Journal of the National Cancer Institute, 95, 511-515.
-
(2003)
Journal of the National Cancer Institute
, vol.95
, pp. 511-515
-
-
Baker, S.G.1
-
6
-
-
79955702502
-
LIBSVM: A library for support vector machines
-
Chang, C., & Lin, C. (2011). LIBSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology, 2(3), 27.
-
(2011)
ACM Transactions on Intelligent Systems and Technology
, vol.2
, Issue.3
, pp. 27
-
-
Chang, C.1
Lin, C.2
-
7
-
-
84897965802
-
AUC optimization vs. error rate minimization
-
S. Thrün, L. K. Saul, & B. Schölkopf (Eds.), Cambridge, MA: MIT Press.
-
Cortes, C., & Mohri, M. (2004). AUC optimization vs. error rate minimization. In S. Thrün, L. K. Saul, & B. Schölkopf (Eds.), Advances in neural information processing systems, 16 (pp. 313-320). Cambridge, MA: MIT Press.
-
(2004)
Advances in neural information processing systems
, vol.16
, pp. 313-320
-
-
Cortes, C.1
Mohri, M.2
-
8
-
-
4644367942
-
An efficient boosting algorithm for combining preferences
-
Freund, Y., Iyer, R., Schapire, R., & Singer, Y. (2003). An efficient boosting algorithm for combining preferences. Journal of Machine Learning Research, 4, 933-969.
-
(2003)
Journal of Machine Learning Research
, vol.4
, pp. 933-969
-
-
Freund, Y.1
Iyer, R.2
Schapire, R.3
Singer, Y.4
-
9
-
-
0031211090
-
A decision-theoretic generalization of online learning and an application to boosting
-
Freund, Y., & Schapire, R. E. (1997). A decision-theoretic generalization of online learning and an application to boosting. Journal of Computer and System Sciences, 55(1), 119-139.
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
10
-
-
0034164230
-
Additive logistic regression: A statistical view of boosting
-
Friedman, J. H., Hastie, T., & Tibshirani, R. (2000). Additive logistic regression: A statistical view of boosting. Annals of Statistics, 28, 337-407.
-
(2000)
Annals of Statistics
, vol.28
, pp. 337-407
-
-
Friedman, J.H.1
Hastie, T.2
Tibshirani, R.3
-
11
-
-
28844439821
-
On data depth and distribution-free discriminant analysis using separating surfaces
-
Ghosh, A., & Chaudhuri, P. (2005). On data depth and distribution-free discriminant analysis using separating surfaces. Bernoulli, 11(1), 1-28.
-
(2005)
Bernoulli
, vol.11
, Issue.1
, pp. 1-28
-
-
Ghosh, A.1
Chaudhuri, P.2
-
12
-
-
0004277402
-
-
New York:Wiley
-
Hampel, F. R., Rousseeuw, P. J., Ronchetti, E. M., & Stahel, W. A. (1986). Robust statistics. New York:Wiley.
-
(1986)
Robust statistics
-
-
Hampel, F.R.1
Rousseeuw, P.J.2
Ronchetti, E.M.3
Stahel, W.A.4
-
14
-
-
34548033981
-
Robust loss functions for boosting
-
Kanamori, T., Takenouchi, T., Eguchi, S., & Murata, N. (2007). Robust loss functions for boosting. Neural Computation, 19(8), 2183-2244.
-
(2007)
Neural Computation
, vol.19
, Issue.8
, pp. 2183-2244
-
-
Kanamori, T.1
Takenouchi, T.2
Eguchi, S.3
Murata, N.4
-
15
-
-
77953243025
-
A boosting method for maximizing the partial area under the ROC curve
-
Komori, O., & Eguchi, S. (2010). A boosting method for maximizing the partial area under the ROC curve. BMC Bioinformatics, 11, 314.
-
(2010)
BMC Bioinformatics
, vol.11
, pp. 314
-
-
Komori, O.1
Eguchi, S.2
-
17
-
-
84898978212
-
Boosting algorithms as gradient descent in function space
-
S. A. Solla, T.K. Leen, & K.-R.Müller (Eds.), Cambridge, MA: MIT Press.
-
Mason, L., Baxter, J., Bartlett, P., & Frean, M. (1999). Boosting algorithms as gradient descent in function space. In S. A. Solla, T.K. Leen, & K.-R.Müller (Eds.), Advances in neural information processing systems, 12 (pp. 512-518). Cambridge, MA: MIT Press.
-
(1999)
Advances in neural information processing systems
, vol.12
, pp. 512-518
-
-
Mason, L.1
Baxter, J.2
Bartlett, P.3
Frean, M.4
-
18
-
-
2942627097
-
Information geometry of U-boost and Bregman divergence
-
Murata, N., Takenouchi, T., Kanamori, T., & Eguchi, S. (2004). Information geometry of U-boost and Bregman divergence. Neural Computation, 16(7), 1437-1481.
-
(2004)
Neural Computation
, vol.16
, Issue.7
, pp. 1437-1481
-
-
Murata, N.1
Takenouchi, T.2
Kanamori, T.3
Eguchi, S.4
-
19
-
-
38849091997
-
Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond
-
Pencina, M., D'Agostino Sr., R., D'Agostino Jr., R., & Vasan, R. (2008). Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond. Statistics in Medicine, 27(2), 157-172.
-
(2008)
Statistics in Medicine
, vol.27
, Issue.2
, pp. 157-172
-
-
Pencina, M.1
D'Agostino Sr., R.2
D'Agostino Jr., R.3
Vasan, R.4
-
21
-
-
0037368548
-
Selecting differentially expressed genes from microarray experiments
-
Pepe, M. S., Longton, G., Anderson, G. L., & Schummer, M. (2003). Selecting differentially expressed genes from microarray experiments. Biometrics, 59, 133-142.
-
(2003)
Biometrics
, vol.59
, pp. 133-142
-
-
Pepe, M.S.1
Longton, G.2
Anderson, G.L.3
Schummer, M.4
-
22
-
-
0010202247
-
Combining diagnostic test results to increase accuracy
-
Pepe, M. S., & Thompson, M. L. (2000). Combining diagnostic test results to increase accuracy. Biostatistics, 1, 123-140.
-
(2000)
Biostatistics
, vol.1
, pp. 123-140
-
-
Pepe, M.S.1
Thompson, M.L.2
-
23
-
-
33646018046
-
Evaluation of different biological data and computational classification methods for use in protein interaction prediction
-
Qi, Y., Joseph, Z. B., & Seetharaman, J. K. (2006). Evaluation of different biological data and computational classification methods for use in protein interaction prediction. Proteins: Structure, Function, and Bioinformatics, 63, 490-500.
-
(2006)
Proteins: Structure, Function, and Bioinformatics
, vol.63
, pp. 490-500
-
-
Qi, Y.1
Joseph, Z.B.2
Seetharaman, J.K.3
-
25
-
-
70450255147
-
Margin-based ranking and an equivalence between AdaBoost and RankBoost
-
Rudin, C., & Schapire, R. (2009).Margin-based ranking and an equivalence between AdaBoost and RankBoost. Journal of Machine Learning Research, 10, 2193-2232.
-
(2009)
Journal of Machine Learning Research
, vol.10
, pp. 2193-2232
-
-
Rudin, C.1
Schapire, R.2
-
26
-
-
0003408420
-
-
Cambridge, MA: MIT Press.
-
Schölkopf, B., & Smola, A. J. (2001). Learning with kernels: Support vector machines, regularization, optimization, and beyond. Cambridge, MA: MIT Press.
-
(2001)
Learning with kernels: Support vector machines, regularization, optimization, and beyond
-
-
Schölkopf, B.1
Smola, A.J.2
-
27
-
-
45749120676
-
Robust boosting algorithm against mislabeling in multi-class problems
-
Takenouchi, T., Eguchi, S., Murata, T., & Kanamori, T. (2008). Robust boosting algorithm against mislabeling in multi-class problems. Neural Computation, 20(6), 1596-1630.
-
(2008)
Neural Computation
, vol.20
, Issue.6
, pp. 1596-1630
-
-
Takenouchi, T.1
Eguchi, S.2
Murata, T.3
Kanamori, T.4
|