-
1
-
-
0003408496
-
-
University of California, Irvine, Department of Information and Computer Science
-
Blake, C. L. and Merz, C. J. (1998). UCI Repository of machine learning databases. http://www.ics.uci.edu/mlearn/MLRepository.html. University of California, Irvine, Department of Information and Computer Science.
-
(1998)
UCI Repository of Machine Learning Databases
-
-
Blake, C.L.1
Merz, C.J.2
-
3
-
-
0001587464
-
The little bootstrap and other methods for dimensionality selection in regression: X-fixed prediction error
-
Breiman, L. (1992). The little bootstrap and other methods for dimensionality selection in regression: X-fixed prediction error. J. Amer. Statist. Assoc. 87, 738-754.
-
(1992)
J. Amer. Statist. Assoc.
, vol.87
, pp. 738-754
-
-
Breiman, L.1
-
4
-
-
0000343716
-
Submodel selection and evaluation in regression - The X - Random case
-
Breiman, L. and Spector, P. (1992). Submodel selection and evaluation in regression - the X - Random case. Internat. Rev. Statist. 3, 291-319.
-
(1992)
Internat. Rev. Statist.
, vol.3
, pp. 291-319
-
-
Breiman, L.1
Spector, P.2
-
5
-
-
0030344230
-
Heuristics of instability and stabilization in model selection
-
Breiman, L. (1996). Heuristics of instability and stabilization in model selection. Ann. Statist. 24, 2350-2383.
-
(1996)
Ann. Statist.
, vol.24
, pp. 2350-2383
-
-
Breiman, L.1
-
6
-
-
34249753618
-
Support vector networks
-
Cortes, C. and Vapnik, V. (1995). Support vector networks. Machine Learning 20, 273-297.
-
(1995)
Machine Learning
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
8
-
-
85012466035
-
Discussion of Efron's paper entitled "The estimation of prediction error: Covariance penalties and Cross-Validation"
-
Denby, L., Landwehr, J. M. and Mallows, C. L. (2004). Discussion of Efron's paper entitled "The estimation of prediction error: covariance penalties and Cross-Validation". J. Amer. Statist. Assoc. 90, 633-634.
-
(2004)
J. Amer. Statist. Assoc.
, vol.90
, pp. 633-634
-
-
Denby, L.1
Landwehr, J.M.2
Mallows, C.L.3
-
9
-
-
84950461478
-
Estimating the error rate of a prediction rule: Improvement on cross-validation
-
Efron, B. (1983). Estimating the error rate of a prediction rule: improvement on cross-validation. J. Amer. Statist. Assoc. 78, 316-331.
-
(1983)
J. Amer. Statist. Assoc.
, vol.78
, pp. 316-331
-
-
Efron, B.1
-
10
-
-
80053264999
-
How biased is the apparent error rate of a prediction rule?
-
Efron, B. (1986). How biased is the apparent error rate of a prediction rule?. J. Amer. Statist. Assoc. 81, 461-470.
-
(1986)
J. Amer. Statist. Assoc.
, vol.81
, pp. 461-470
-
-
Efron, B.1
-
11
-
-
4944239996
-
The estimation of prediction error: Covariance penalties and cross-validation
-
Efron, B. (2004). The estimation of prediction error: covariance penalties and cross-validation. J. Amer. Statist. Assoc. 99, 619-632.
-
(2004)
J. Amer. Statist. Assoc.
, vol.99
, pp. 619-632
-
-
Efron, B.1
-
12
-
-
84925605946
-
The entire regularization path for the support vector machine
-
Hastie, T., Rosset, S., Tibshirani, R. and Zhu, J. (2004). The entire regularization path for the support vector machine. J. of Machine Learning Research 5, 1391-1415.
-
(2004)
J. of Machine Learning Research
, vol.5
, pp. 1391-1415
-
-
Hastie, T.1
Rosset, S.2
Tibshirani, R.3
Zhu, J.4
-
13
-
-
2142775432
-
Multicategory support vector machines, theory and application to the classification of microarray data and satellite radiance data
-
Lee, Y., Lin, Y. and Wahba, G. (2003). Multicategory support vector machines, theory and application to the classification of microarray data and satellite radiance data. J. Amer. Statist. Assoc. 99, 67-81.
-
(2003)
J. Amer. Statist. Assoc.
, vol.99
, pp. 67-81
-
-
Lee, Y.1
Lin, Y.2
Wahba, G.3
-
14
-
-
0001462696
-
L, cross-validation and generalized cross-validation: Discrete index set
-
L, cross-validation and generalized cross-validation: Discrete index set. Ann. Statist. 15, 958-975.
-
(1987)
Ann. Statist.
, vol.15
, pp. 958-975
-
-
Li, K.C.1
-
15
-
-
33745635949
-
Optimal model assessment, selection and combination
-
to appear
-
Shen, X. and Huang, H.-C. (2005). Optimal model assessment, selection and combination. J. Amer. Statist. Assoc., to appear.
-
(2005)
J. Amer. Statist. Assoc.
-
-
Shen, X.1
Huang, H.-C.2
-
16
-
-
4544352662
-
Adaptive model selection and assessment for exponential family distributions
-
Shen, X., Huang, H.-C. and Ye, J. (2004). Adaptive model selection and assessment for exponential family distributions. Technometrics 46, 306-317.
-
(2004)
Technometrics
, vol.46
, pp. 306-317
-
-
Shen, X.1
Huang, H.-C.2
Ye, J.3
-
17
-
-
0242679446
-
On Psi-learning
-
Shen, X., Tseng, G. C. Zhang, X. and Wong, W. H. (2003). On Psi-learning. J. Amer. Statist. Assoc. 98, 724-734.
-
(2003)
J. Amer. Statist. Assoc.
, vol.98
, pp. 724-734
-
-
Shen, X.1
Tseng, G.C.2
Zhang, X.3
Wong, W.H.4
-
18
-
-
0000864140
-
The necessary and sufficient conditions for consistency of the method of empirical risk minimization
-
Vapnik, V. and Chervonenkis, A. (1991). The necessary and sufficient conditions for consistency of the method of empirical risk minimization. Pattern Recogn. Image Anal. 1, 284-305.
-
(1991)
Pattern Recogn. Image Anal.
, vol.1
, pp. 284-305
-
-
Vapnik, V.1
Chervonenkis, A.2
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