-
6
-
-
84949161149
-
Stein's estimation rule and its competitors-An empirical Bayes approach
-
Efron, B., & Morris, C. (1973). Stein's Estimation Rule and Its Competitors-An Empirical Bayes Approach. Journal of the American Statistical Association, 68, 117-130.
-
(1973)
Journal of the American Statistical Association
, vol.68
, pp. 117-130
-
-
Efron, B.1
Morris, C.2
-
7
-
-
77954576158
-
-
Funk, S. (2006). Try this at home. http://sifter.org/∼simon/journal/ 20061211.html.
-
(2006)
Try This at Home
-
-
Funk, S.1
-
9
-
-
0001486499
-
Estimation with quadratic loss
-
Berkeley, CA, USA: University of California Press
-
James, W., & Stein, C. (1961). Estimation with quadratic loss. Proceedings of the 4th Berkeley Symposium on Mathematical Statistics and Probability (pp. 361-379). Berkeley, CA, USA: University of California Press.
-
(1961)
Proceedings of the 4th Berkeley Symposium on Mathematical Statistics and Probability
, pp. 361-379
-
-
James, W.1
Stein, C.2
-
10
-
-
84873751778
-
An invariant form for the prior probability in estimation problems
-
Series A, Mathematical and Physical Sciences
-
Jeffreys, H. (1946). An Invariant Form for the Prior Probability in Estimation Problems. Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences (pp. 453-461).
-
(1946)
Proceedings of the Royal Society of London
, pp. 453-461
-
-
Jeffreys, H.1
-
11
-
-
0031103122
-
Grouplens: Applying collaborative filtering to Usenet news
-
Konstan, J. A., Miller, B. N., Maitz, D., Herlocker, J. L., Gordon, L. R., & Riedl, J. (1997). Grouplens: Applying collaborative filtering to Usenet news. Communications of the ACM, 40, 77-87.
-
(1997)
Communications of the ACM
, vol.40
, pp. 77-87
-
-
Konstan, J.A.1
Miller, B.N.2
Maitz, D.3
Herlocker, J.L.4
Gordon, L.R.5
Riedl, J.6
-
13
-
-
34247210751
-
Variational Bayes solution of linear neural networks and its generalization performance
-
Nakajima, S., & Watanabe, S. (2007). Variational Bayes Solution of Linear Neural Networks and its Generalization Performance. Neural Computation, 19, 1112-1153.
-
(2007)
Neural Computation
, vol.19
, pp. 1112-1153
-
-
Nakajima, S.1
Watanabe, S.2
-
17
-
-
33745819990
-
Overview and recent advances in partial least squares
-
Berlin, Germany: Springer
-
Rosipal, R., & Krämer, N. (2006). Overview and recent advances in partial least squares. Subspace, Latent Structure and Feature Selection Techniques (pp. 34-51). Berlin, Germany: Springer.
-
(2006)
Subspace, Latent Structure and Feature Selection Techniques
, pp. 34-51
-
-
Rosipal, R.1
Krämer, N.2
-
18
-
-
85161989354
-
Probabilistic matrix factorization
-
Cambridge, MA, USA: MIT Press
-
Salakhutdinov, R., & Mnih, A. (2008). Probabilistic matrix factorization. Advances in Neural Information Process-ing Systems 20 (pp. 1257-1264). Cambridge, MA, USA: MIT Press.
-
(2008)
Advances in Neural Information Process-ing Systems
, vol.20
, pp. 1257-1264
-
-
Salakhutdinov, R.1
Mnih, A.2
-
20
-
-
33646348720
-
Stochastic complexities of Gaussian mixtures in variational Bayesian approximation
-
Watanabe, K., & Watanabe, S. (2006). Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation. Journal of Machine Learning Research, 7, 625-644. (Pubitemid 43668112)
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 625-644
-
-
Watanabe, K.1
Watanabe, S.2
-
21
-
-
0035316373
-
Algebraic analysis for nonidentifiable learning machines
-
DOI 10.1162/089976601300014402
-
Watanabe, S. (2001). Algebraic Analysis for Nonidentifiable Learning Machines. Neural Computation, 13, 899-933. (Pubitemid 33594310)
-
(2001)
Neural Computation
, vol.13
, Issue.4
, pp. 899-933
-
-
Watanabe, S.1
-
23
-
-
0742324924
-
Singularities in mixture models and upper bounds of stochastic complexity
-
Yamazaki, K., & Watanabe, S. (2003). Singularities in Mixture Models and Upper Bounds of Stochastic Complexity. Neural Networks, 16, 1029-1038.
-
(2003)
Neural Networks
, vol.16
, pp. 1029-1038
-
-
Yamazaki, K.1
Watanabe, S.2
|