-
1
-
-
56449091550
-
Gaussian process product models for nonparametric nonstationarity
-
New York, NY, USA: ACM
-
Adams, R. P., and Stegle, O. 2008. Gaussian process product models for nonparametric nonstationarity. In Proceedings of the 25th International Conference on Machine Learning, ICML '08, 1-8. New York, NY, USA: ACM.
-
(2008)
Proceedings of the 25th International Conference on Machine Learning, ICML '08
, pp. 1-8
-
-
Adams, R.P.1
Stegle, O.2
-
3
-
-
0031919293
-
What proportion of common diagnostic tests appear redundant?
-
Bates, D. W.; Boyle, D. L.; Rittenberg, E.; Kuperman, G. J.; Ma'Luf, N.; Menkin, V.; Winkelman, J. W.; and Tanasijevic, M. J. 1998. What proportion of common diagnostic tests appear redundant? Am J Med 104(4):361-368.
-
(1998)
Am J Med
, vol.104
, Issue.4
, pp. 361-368
-
-
Bates, D.W.1
Boyle, D.L.2
Rittenberg, E.3
Kuperman, G.J.4
Ma'Luf, N.5
Menkin, V.6
Winkelman, J.W.7
Tanasijevic, M.J.8
-
4
-
-
85032750937
-
An introduction to compressive sampling
-
Candes, E. J., and Wakin, M. B. 2008. An introduction to compressive sampling. Signal Processing Magazine, IEEE 25(2):21-30.
-
(2008)
Signal Processing Magazine, IEEE
, vol.25
, Issue.2
, pp. 21-30
-
-
Candes, E.J.1
Wakin, M.B.2
-
7
-
-
84879468407
-
Computational phenotype discovery using unsupervised feature learning over noisy, sparse, and irregular clinical data
-
Lasko, T. A.; Denny, J. C; and Levy, M. A. 2013. Computational phenotype discovery using unsupervised feature learning over noisy, sparse, and irregular clinical data. PLoS 0e8(6):e66341.
-
(2013)
PLoS 0
, vol.8
, Issue.6
, pp. e66341
-
-
Lasko, T.A.1
Denny, J.C.2
Levy, M.A.3
-
9
-
-
85162070336
-
Slice sampling covari-ance hyperparameters of latent Gaussian models
-
Laf-ferty, J.; Williams, C. K. I.; Zemel, R.; Shawe-Taylor, J.; and Culotta, A., eds
-
Murray, I., and Adams, R. P. 2010. Slice sampling covari-ance hyperparameters of latent Gaussian models. In Laf-ferty, J.; Williams, C. K. I.; Zemel, R.; Shawe-Taylor, J.; and Culotta, A., eds., Advances in Neural Information Processing Systems 23, 1723-1731.
-
(2010)
Advances in Neural Information Processing Systems
, vol.23
, pp. 1723-1731
-
-
Murray, I.1
Adams, R.P.2
-
10
-
-
84899028582
-
Nonstationary co-variance functions for Gaussian process regression
-
Thrun, S.; Saul, L.; and Schölkopf, B., eds. Cambridge, MA: MIT Press
-
Paciorek, C. J., and Schervish, M. J. 2004. Nonstationary co-variance functions for gaussian process regression. In Thrun, S.; Saul, L.; and Schölkopf, B., eds., Advances in Neural In-formation Processing Systems 16. Cambridge, MA: MIT Press.
-
(2004)
Advances in Neural In-formation Processing Systems 16
-
-
Paciorek, C.J.1
Schervish, M.J.2
-
13
-
-
0000832522
-
Nonparametric estimation of nonstationary spatial covariance structure
-
Sampson, P. D., and Guttorp, P. 1992. Nonparametric estimation of nonstationary spatial covariance structure. J Am Stat Assoc 87(417):pp. 108-119.
-
(1992)
J Am Stat Assoc
, vol.87
, Issue.417
, pp. 108-119
-
-
Sampson, P.D.1
Guttorp, P.2
-
15
-
-
0344514884
-
Population-based study of repeat laboratory testing
-
van Walraven, C, and Raymond, M. 2003. Population-based study of repeat laboratory testing. Clinical Chemistry 49(12): 1997-2005.
-
(2003)
Clinical Chemistry
, vol.49
, Issue.12
, pp. 1997-2005
-
-
Van Walraven, C.1
Raymond, M.2
|