-
1
-
-
0016355478
-
A new look at the statistical model identification
-
H. Akaike. A new look at the statistical model identification. IEEE Transactions on Automatic Control, AC-19(6):716-723, 1974.
-
(1974)
IEEE Transactions on Automatic Control
, vol.AC-19
, Issue.6
, pp. 716-723
-
-
Akaike, H.1
-
2
-
-
34248997891
-
Active learning for misspecified generalized linear models
-
B. Schölkopf, J. Platt, and T. Hoffman, editors, MIT Press, Cambridge, MA
-
F. Bach. Active learning for misspecified generalized linear models. In B. Schölkopf, J. Platt, and T. Hoffman, editors, Advances in Neural Information Processing Systems 19. MIT Press, Cambridge, MA, 2007.
-
(2007)
Advances in Neural Information Processing Systems 19
-
-
Bach, F.1
-
4
-
-
34250263445
-
Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
-
P. Craven and G. Wahba. Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation. Numerische Mathematik, 31:377-403, 1979.
-
(1979)
Numerische Mathematik
, vol.31
, pp. 377-403
-
-
Craven, P.1
Wahba, G.2
-
6
-
-
0033640737
-
Statistical active learning in multilayer perceptrons
-
K. Fukumizu. Statistical active learning in multilayer perceptrons. IEEE Transactions on Neural Networks, 11(1):17-26, 2000.
-
(2000)
IEEE Transactions on Neural Networks
, vol.11
, Issue.1
, pp. 17-26
-
-
Fukumizu, K.1
-
8
-
-
84864031047
-
Correcting sample selection bias by unlabeled data
-
B. Schölkopf, J. Platt, and T. Hoffman, editors, MIT Press, Cambridge, MA
-
J. Huang, A. Smola, A. Gretton, K. M. Borgwardt, and B. Schölkopf. Correcting sample selection bias by unlabeled data. In B. Schölkopf, J. Platt, and T. Hoffman, editors, Advances in Neural Information Processing Systems 19, pages 601-608. MIT Press, Cambridge, MA, 2007.
-
(2007)
Advances in Neural Information Processing Systems 19
, pp. 601-608
-
-
Huang, J.1
Smola, A.2
Gretton, A.3
Borgwardt, K.M.4
Schölkopf, B.5
-
9
-
-
0038647337
-
Active learning algorithm using the maximum weighted log-likelihood estimator
-
T. Kanamori and H. Shimodaira. Active learning algorithm using the maximum weighted log-likelihood estimator. Journal of Statistical Planning and Inference, 116(1):149-162, 2003.
-
(2003)
Journal of Statistical Planning and Inference
, vol.116
, Issue.1
, pp. 149-162
-
-
Kanamori, T.1
Shimodaira, H.2
-
10
-
-
0001025418
-
Bayesian interpolation
-
D. J. C. MacKay. Bayesian interpolation. Neural Computation, 4(3):415-447, 1992.
-
(1992)
Neural Computation
, vol.4
, Issue.3
, pp. 415-447
-
-
MacKay, D.J.C.1
-
11
-
-
0000695404
-
Information-based objective functions for active data selection
-
D. J. C. MacKay. Information-based objective functions for active data selection. Neural Computation, 4(4):590-604, 1992.
-
(1992)
Neural Computation
, vol.4
, Issue.4
, pp. 590-604
-
-
MacKay, D.J.C.1
-
13
-
-
0004214436
-
-
C. E. Rasmussen, R. M. Neal, G. E. Hinton, D. van Camp, M. Revow, Z. Ghahramani, R. Kustra, and R. Tibshirani. The DELVE manual, 1996.
-
(1996)
The DELVE manual
-
-
Rasmussen, C.E.1
Neal, R.M.2
Hinton, G.E.3
van Camp, D.4
Revow, M.5
Ghahramani, Z.6
Kustra, R.7
Tibshirani, R.8
-
14
-
-
0018015137
-
Modeling by shortest data description
-
J. Rissanen. Modeling by shortest data description. Automatica, 14(5):465-471, 1978.
-
(1978)
Automatica
, vol.14
, Issue.5
, pp. 465-471
-
-
Rissanen, J.1
-
15
-
-
0000120766
-
Estimating the dimension of a model
-
G. Schwarz. Estimating the dimension of a model. The Annals of Statistics, 6:461-464, 1978.
-
(1978)
The Annals of Statistics
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
16
-
-
0037527188
-
Improving predictive inference under covariate shift by weighting the log-likelihood function
-
H. Shimodaira. Improving predictive inference under covariate shift by weighting the log-likelihood function. Journal of Statistical Planning and Inference, 90(2):227-244, 2000.
-
(2000)
Journal of Statistical Planning and Inference
, vol.90
, Issue.2
, pp. 227-244
-
-
Shimodaira, H.1
-
17
-
-
30744458353
-
Active learning in approximately linear regression based on conditional expectation of generalization error
-
Jan
-
M. Sugiyama. Active learning in approximately linear regression based on conditional expectation of generalization error. Journal of Machine Learning Research, 7:141-166, Jan. 2006.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 141-166
-
-
Sugiyama, M.1
-
19
-
-
34249027984
-
Input-dependent estimation of generalization error under covariate shift
-
M. Sugiyama and K.-R. Müller. Input-dependent estimation of generalization error under covariate shift. Statistics & Decisions, 23(4):249-279, 2005.
-
(2005)
Statistics & Decisions
, vol.23
, Issue.4
, pp. 249-279
-
-
Sugiyama, M.1
Müller, K.-R.2
-
20
-
-
0842310437
-
Active learning with model selection- Simultaneous optimization of sample points and models for trigonometric polynomial models
-
M. Sugiyama and H. Ogawa. Active learning with model selection- Simultaneous optimization of sample points and models for trigonometric polynomial models. IEICE Transactions on Information and Systems, E86-D( 12):2753-2763, 2003.
-
(2003)
IEICE Transactions on Information and Systems
, vol.E86-D
, Issue.12
, pp. 2753-2763
-
-
Sugiyama, M.1
Ogawa, H.2
-
21
-
-
0012035667
-
Robust weights and designs for biased regression models: Least squares and generalized M-estimation
-
D. P. Wiens. Robust weights and designs for biased regression models: Least squares and generalized M-estimation. Journal of Statistical Planning and Inference, 83(2):395-412, 2000.
-
(2000)
Journal of Statistical Planning and Inference
, vol.83
, Issue.2
, pp. 395-412
-
-
Wiens, D.P.1
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