-
1
-
-
84925604888
-
No unbiased estimator of the variance of k-fold cross validation
-
Y. Bengio and Y. Grandvalet. No unbiased estimator of the variance of k-fold cross validation. Journal of Machine Learning Research, 5: 1089-1105, 2004.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 1089-1105
-
-
Bengio, Y.1
Grandvalet, Y.2
-
3
-
-
0030344230
-
Heuristics of instability and stabilization in model selection
-
L. Breiman. Heuristics of instability and stabilization in model selection. The Annals of Statistics, 24: 2350-2383, 1996.
-
(1996)
The Annals of Statistics
, vol.24
, pp. 2350-2383
-
-
Breiman, L.1
-
5
-
-
0000259511
-
Approximate statistical tests for comparing supervised classification learning algorithms
-
T. G. Dietterich. Approximate statistical tests for comparing supervised classification learning algorithms. Neural Computation, 10: 1895-1923, 1998.
-
(1998)
Neural Computation
, vol.10
, pp. 1895-1923
-
-
Dietterich, T.G.1
-
6
-
-
84950461478
-
Estimating the error rate of a predication rule: Improvement on cross-validation
-
B. Efron. Estimating the error rate of a predication rule: Improvement on cross-validation. Journal of the American Statistical Association, 78: 316-331, 1983.
-
(1983)
Journal of the American Statistical Association
, vol.78
, pp. 316-331
-
-
Efron, B.1
-
8
-
-
4944239996
-
The estimation of prediction error: Covariance penalties and cross-validation
-
B. Efron. The Estimation of Prediction Error: Covariance Penalties and Cross-Validation. Journal of the American Statistical Association, 99: 619-632, 2004.
-
(2004)
Journal of the American Statistical Association
, vol.99
, pp. 619-632
-
-
Efron, B.1
-
10
-
-
23244459615
-
Calculation methods for nonlinear dynamic least absolute deviations estimator
-
K. Hitomi and M. Kagihara. Calculation methods for nonlinear dynamic least absolute deviations estimator. Journal of the Japan. Statist. Society, 31: 39-51, 2001.
-
(2001)
Journal of the Japan. Statist. Society
, vol.31
, pp. 39-51
-
-
Hitomi, K.1
Kagihara, M.2
-
12
-
-
0037403462
-
Variance and bias for general loss functions
-
G. M. James. Variance and bias for general loss functions. Machine Learning, 51: 115-135, 2003.
-
(2003)
Machine Learning
, vol.51
, pp. 115-135
-
-
James, G.M.1
-
13
-
-
85156223398
-
A bound on the error of cross validation with consequences for the training-test split
-
M. Kearns. A bound on the error of cross validation with consequences for the training-test split. In Advances in Neural Information Processing Systems, 8: 183-189, 1996.
-
(1996)
Advances in Neural Information Processing Systems
, vol.8
, pp. 183-189
-
-
Kearns, M.1
-
14
-
-
0033566418
-
Algorithmic stability and sanity-check bounds for leave-one-out cross validation
-
M. Kearns and D. Ron. Algorithmic stability and sanity-check bounds for leave-one-out cross validation. Neural Computation, 11: 1427-1453, 1999.
-
(1999)
Neural Computation
, vol.11
, pp. 1427-1453
-
-
Kearns, M.1
Ron, D.2
-
15
-
-
2442522423
-
Approximation of the expectation of a function of the sample mean
-
R. A. Khan. Approximation of the expectation of a function of the sample mean. Statistics, 38: 117-122, 2004.
-
(2004)
Statistics
, vol.38
, pp. 117-122
-
-
Khan, R.A.1
-
16
-
-
85164392958
-
A study of cross-validation and bootstrap for accuracy estimation and model selection
-
R. Kohavi. A study of cross-validation and bootstrap for accuracy estimation and model selection. In The International Joint Conference on Artificial Intelligence, 1137-1143, 1995.
-
(1995)
The International Joint Conference on Artificial Intelligence
, pp. 1137-1143
-
-
Kohavi, R.1
-
18
-
-
1442307390
-
An asymptotic expansion for the variance of the errors of misclassification of the linear discriminant function
-
G. J. McLachlan. An asymptotic expansion for the variance of the errors of misclassification of the linear discriminant function. Australian Journal of Statistics, 14: 68-72, 1972.
-
(1972)
Australian Journal of Statistics
, vol.14
, pp. 68-72
-
-
McLachlan, G.J.1
-
19
-
-
84990495134
-
An asymptotic expansion of the expectation of the estimated error rate in discriminant analysis
-
G. J. Mclachlan. An asymptotic expansion of the expectation of the estimated error rate in discriminant analysis. Australian Journal of Statistics, 15: 210-214, 1974.
-
(1974)
Australian Journal of Statistics
, vol.15
, pp. 210-214
-
-
Mclachlan, G.J.1
-
20
-
-
0015956459
-
The asymptotic distributions of the conditional error rate and risk in discriminant analysis
-
G. J. McLachlan. The asymptotic distributions of the conditional error rate and risk in discriminant analysis. Biometrika, 61: 131-135, 1974.
-
(1974)
Biometrika
, vol.61
, pp. 131-135
-
-
McLachlan, G.J.1
-
21
-
-
85042336383
-
The bias of the apparent error rate in discriminant analysis
-
G. J. McLachlan. The bias of the apparent error rate in discriminant analysis. Biometrika, 63: 239-244, 1976.
-
(1976)
Biometrika
, vol.63
, pp. 239-244
-
-
McLachlan, G.J.1
-
22
-
-
0042847140
-
Inference for the generalization error
-
C. Nadeau and Y. Bengio. Inference for the generalization error. Machine Learning, 52: 239-281, 2003.
-
(2003)
Machine Learning
, vol.52
, pp. 239-281
-
-
Nadeau, C.1
Bengio, Y.2
-
24
-
-
0027067290
-
Variability and bias in experimentally measured classifier error rates
-
J. Piper. Variability and bias in experimentally measured classifier error rates. Pattern Recognition Letters, 13: 685-692, 1992.
-
(1992)
Pattern Recognition Letters
, vol.13
, pp. 685-692
-
-
Piper, J.1
-
25
-
-
0042784763
-
Between stability and higher order asymptotics
-
E. Ronchetti and L. Ventura. Between stability and higher order asymptotics .Statistics and Computing, 11: 67-73, 2001.
-
(2001)
Statistics and Computing
, vol.11
, pp. 67-73
-
-
Ronchetti, E.1
Ventura, L.2
|