-
3
-
-
0003684449
-
-
(second edition) Springer, New York
-
T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction (second edition), Springer, New York, 2009.
-
(2009)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
4
-
-
0034164230
-
ADDITIVE LOGISTIC REGRESSION: A STATISTICAL VIEW OF BOOSTING
-
J. Friedman, T. Hastie, and R. Tibshirani, "Additive logistic regression: A statistical view of boosting," The Annals of Statistics, vol.28, pp.337-407, 2000. (Pubitemid 33227445)
-
(2000)
Annals of Statistics
, vol.28
, Issue.2 SPI
, pp. 337-407
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
5
-
-
2942627097
-
Information geometry of U-Boost and Bregman divergence
-
DOI 10.1162/089976604323057452
-
N. Murata, T. Takenouchi, T. Kanamori, and S. Eguchi, "Information geometry of U-Boost and Bregman divergence," Neural Comput., vol.16, pp.1437-1481, 2004. (Pubitemid 38740017)
-
(2004)
Neural Computation
, vol.16
, Issue.7
, pp. 1437-1481
-
-
Murata, N.1
Takenouchi, T.2
Kanamori, T.3
Eguchi, S.4
-
6
-
-
52349088402
-
Information geometry and statistical pattern recognition
-
S. Eguchi, "Information geometry and statistical pattern recognition," Sugaku Expositions, vol.19, pp.197-216, 2006.
-
(2006)
Sugaku Expositions
, vol.19
, pp. 197-216
-
-
Eguchi, S.1
-
7
-
-
1542291080
-
Robustifying AdaBoost by Adding the Naive Error Rate
-
DOI 10.1162/089976604322860695
-
T. Takenouchi and S. Eguchi, "Robustifying AdaBoost by adding the naive error rate," Neural Comput., vol.16, pp.767-787, 2004. (Pubitemid 38318131)
-
(2004)
Neural Computation
, vol.16
, Issue.4
, pp. 767-787
-
-
Takenouchi, T.1
Eguchi, S.2
-
8
-
-
26444493144
-
Boosting with early stopping: Convergence and consistency
-
DOI 10.1214/009053605000000255
-
T. Zhang and B. Yu, "Boosting with early stopping: Convergence and consistency," The Annals of Statistics, vol.4, pp.1538-1579, 2005. (Pubitemid 41423980)
-
(2005)
Annals of Statistics
, vol.33
, Issue.4
, pp. 1538-1579
-
-
Zhang, T.1
Yu, B.2
-
9
-
-
1542277531
-
A class of logistic-type discriminant functions
-
DOI 10.1093/biomet/89.1.1
-
S. Eguchi and J. Copas, "A class of logistic-type discriminant functions," Biometrika, vol.89, pp.1-22, 2002. (Pubitemid 41311999)
-
(2002)
Biometrika
, vol.89
, Issue.1
, pp. 1-22
-
-
Eguchi, S.1
Copas, J.2
-
10
-
-
49549139345
-
The area above the ordinal dominance graph and the area below the receiver operating characteristic graph
-
D. Bamber, "The area above the ordinal dominance graph and the area below the receiver operating characteristic graph," J. Mathematical Psychology, vol.12, pp.387-415, 1975.
-
(1975)
J. Mathematical Psychology
, vol.12
, pp. 387-415
-
-
Bamber, D.1
-
11
-
-
28944437658
-
Regularized ROC method for disease classification and biomarker selection with microarray data
-
DOI 10.1093/bioinformatics/bti724
-
S. Ma and J. Huang, "Regularized ROC method for disease classification and biomarker selection with microarray data," Bioinformatics, vol.21, pp.4356-4362, 2005. (Pubitemid 41782925)
-
(2005)
Bioinformatics
, vol.21
, Issue.24
, pp. 4356-4362
-
-
Ma, S.1
Huang, J.2
-
12
-
-
35748958714
-
A parsimonious threshold-independent pretein feature selection method through the area under receiver operating characteristic curve
-
Z.Wang, Y.I. Chang, Z. Ying, L. Zhu, and Y. Yang, "A parsimonious threshold-independent pretein feature selection method through the area under receiver operating characteristic curve," Bioinformatics, vol.23, pp.2788-1794, 2007.
-
(2007)
Bioinformatics
, vol.23
, pp. 2788-1794
-
-
Wang, Z.1
Chang, Y.I.2
Ying, Z.3
Zhu, L.4
Yang, Y.5
-
13
-
-
80053920146
-
A boosting method for maximization of the area under the ROC curve
-
(online)
-
O. Komori, "A boosting method for maximization of the area under the ROC curve," Annals of the Institute of Statistical Mathematics, 2009. (online).
-
(2009)
Annals of the Institute of Statistical Mathematics
-
-
Komori, O.1
-
14
-
-
77953243025
-
A boosting method for maximizing the partial area under the ROC curve
-
O. Komori and S. Eguchi, "A boosting method for maximizing the partial area under the ROC curve," BMC Bioinformatics, vol.11, p.314, 2010.
-
(2010)
BMC Bioinformatics
, vol.11
, pp. 314
-
-
Komori, O.1
Eguchi, S.2
-
15
-
-
0010202247
-
Combining diagnostic test results to increase accuracy
-
DOI 10.1093/biostatistics/1.2.123
-
M.S. Pepe and M.L. Thompson, "Combining diagnostic test results to increase accuracy," Biostatistics, vol.1, pp.123-140, 2000. (Pubitemid 33213526)
-
(2000)
Biostatistics Oxford
, vol.1
, Issue.2
, pp. 123-140
-
-
Pepe, M.S.1
Thompson, M.L.2
-
16
-
-
79953154460
-
Markers selection via maximizing the partial area unber the ROC curve of linear risk scores
-
Z.Wang and Y.I. Chang, "Markers selection via maximizing the partial area unber the ROC curve of linear risk scores," Biostatistics, vol.12, pp.369-385, 2011.
-
(2011)
Biostatistics
, vol.12
, pp. 369-385
-
-
Wang, Z.1
Chang, Y.I.2
-
18
-
-
0036713833
-
Combining several screening tests: Optimality of the risk score
-
M.W. McIntosh and M.S. Pepe, "Combining several screening tests: Optimality of the risk score," Biometrics, vol.58, pp.657-664, 2002. (Pubitemid 35001484)
-
(2002)
Biometrics
, vol.58
, Issue.3
, pp. 657-664
-
-
McIntosh, M.W.1
Pepe, M.S.2
-
19
-
-
0031211090
-
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
-
Y. Freund and R.E. Schapire, "A decision-theoretic generalization of on-line learning and an application to boosting," J. Computer and System Sciences, vol.55, pp.119-139, 1997. (Pubitemid 127433398)
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
20
-
-
33845509035
-
Generalized additive modeling with implicit variable selection by likelihood-based boosting
-
G. Tutz and H. Binder, "Generalized additive modeling with implicit variable selection by likelihood-based boosting," Biometrics, vol.62, pp.961-971, 2006.
-
(2006)
Biometrics
, vol.62
, pp. 961-971
-
-
Tutz, G.1
Binder, H.2
-
21
-
-
0037186537
-
Looking for lumps: Boosting and bagging for density estimation
-
DOI 10.1016/S0167-9473(01)00066-4, PII S0167947301000664
-
G. Ridgeway, "Looking for lumps: Boosting and bagging for density estimation," Computational Statistics & Data Analysis, vol.38, pp.379-392, 2002. (Pubitemid 34197168)
-
(2002)
Computational Statistics and Data Analysis
, vol.38
, Issue.4
, pp. 379-392
-
-
Ridgeway, G.1
-
23
-
-
27244445147
-
On boosting kernel density methods for multivariate data: Density estimation and classification
-
DOI 10.1007/s10260-005-0110-1
-
M.D. Marzio and C.C. Taylor, "On boosting kernel density methods for multivariate data: Density estimation and classification," Statistical Methods & Applications, vol.14, pp.163-178, 2005. (Pubitemid 41521318)
-
(2005)
Statistical Methods and Applications
, vol.14
, Issue.2
, pp. 163-178
-
-
Di Marzio, M.1
Taylor, C.C.2
-
24
-
-
34247194661
-
Density estimation with stagewise optimization of the empirical risk
-
DOI 10.1007/s10994-006-5000-8
-
J. Klemelä, "Density estimation with stagewise optimization of the empirical risk," Mach. Learn., vol.67, pp.169-195, 2007. (Pubitemid 46616360)
-
(2007)
Machine Learning
, vol.67
, Issue.3
, pp. 169-195
-
-
Klemela, J.1
-
25
-
-
84947769648
-
-
John Wiley & Sons, Hoboken, New Jersey
-
J. Klemelä, Smoothing of Multivariate Data, Density Estimation and Visualization, John Wiley & Sons, Hoboken, New Jersey, 2009.
-
(2009)
Smoothing of Multivariate Data, Density Estimation and Visualization
-
-
Klemelä, J.1
-
27
-
-
80053414988
-
Boosting for density estimation based on U loss function
-
O. Komori, K. Naito, and S. Eguchi, "Boosting for density estimation based on U loss function," IEICE Technical Report, IBISML2010-69, 2010.
-
(2010)
IEICE Technical Report, IBISML2010-69
-
-
Komori, O.1
Naito, K.2
Eguchi, S.3
-
28
-
-
0001640740
-
Robust and efficient estimation by minimizing a density power divergence
-
A. Basu, I.R. Harris, N. Hjort, and M. Jones, "Robust and efficient estimation by minimizing a density power divergence," Biometrika, vol.85, pp.549-559, 1998.
-
(1998)
Biometrika
, vol.85
, pp. 549-559
-
-
Basu, A.1
Harris, I.R.2
Hjort, N.3
Jones, M.4
-
29
-
-
0040673441
-
Robust blind source separation by beta divergence
-
M. Minami and S. Eguchi, "Robust blind source separation by beta divergence," Neural Comput., vol.14, pp.1859-1886, 2002.
-
(2002)
Neural Comput.
, vol.14
, pp. 1859-1886
-
-
Minami, M.1
Eguchi, S.2
-
30
-
-
33645716208
-
Exploring latent structure of mixture ICA models by the minimum β-divergence method
-
DOI 10.1162/089976606774841549
-
M.N.H. Mollah, M. Minami, and S. Eguchi, "Exploring latent structure of mixture ica models by the minimum beta-divergence method," Neural Comput., vol.18, pp.166-190, 2006. (Pubitemid 43543855)
-
(2006)
Neural Computation
, vol.18
, Issue.1
, pp. 166-190
-
-
Mollah, M.N.H.1
Minami, M.2
Eguchi, S.3
-
31
-
-
73949119816
-
Robust extraction of local structures by the minimum beta-divergence method
-
M.N.H. Mollah, N. Sultana, M. Minami, and S. Eguchi, "Robust extraction of local structures by the minimum beta-divergence method," Neural Netw., vol.23, pp.226-238, 2010.
-
(2010)
Neural Netw.
, vol.23
, pp. 226-238
-
-
Mollah, M.N.H.1
Sultana, N.2
Minami, M.3
Eguchi, S.4
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