-
3
-
-
0001219859
-
Regularization theory and neural networks architectures
-
Girosi, F., M. Jones and T. Poggio (1995). Regularization theory and neural networks architectures. Neural Computation 7, 219-269.
-
(1995)
Neural Computation
, vol.7
, pp. 219-269
-
-
Girosi, F.1
Jones, M.2
Poggio, T.3
-
4
-
-
0034860336
-
Population pharmacokinetic and dynamic models: Parametric (p) and nonparametric (np) approaches
-
Bethesda (MD)
-
Jelliffe, R., A. Schumitzky, M. Van Guilder, X. Wang and R. Leary (2001). Population pharmacokinetic and dynamic models: parametric (p) and nonparametric (np) approaches. In: 14th IEEE Symposium on Computer-Based Medical Systems. Bethesda (MD). pp. 407-412.
-
(2001)
14th IEEE Symposium on Computer-Based Medical Systems
, pp. 407-412
-
-
Jelliffe, R.1
Schumitzky, A.2
Van Guilder, M.3
Wang, X.4
Leary, R.5
-
6
-
-
0001025418
-
Bayesian interpolation
-
MacKay, D. J. C. (1992). Bayesian interpolation. Neural Computation 4, 415-447.
-
(1992)
Neural Computation
, vol.4
, pp. 415-447
-
-
MacKay, D.J.C.1
-
7
-
-
0038505133
-
Nonparametric AUC estimation in population studies with incomplete sampling: A Bayesian approach
-
Magni, P., R. Bellazzi, G. De Nicolao, I. Poggesi and M. Rocchetti (2002). Nonparametric AUC estimation in population studies with incomplete sampling: a Bayesian approach. J. Pharmacokin. Pharmacodyn. 29(5/6), 445- 471.
-
(2002)
J. Pharmacokin. Pharmacodyn.
, vol.29
, Issue.5-6
, pp. 445-471
-
-
Magni, P.1
Bellazzi, R.2
De Nicolao, G.3
Poggesi, I.4
Rocchetti, M.5
-
8
-
-
0031403082
-
A semiparametric method for describing noisy population pharmacokinetic data
-
Park, K., D. Verotta, T. F. Blaschke and L. B. Sheiner (1997). A semiparametric method for describing noisy population pharmacokinetic data. J. Pharmacokin. Biopharm. 25, 615- 642.
-
(1997)
J. Pharmacokin. Biopharm.
, vol.25
, pp. 615-642
-
-
Park, K.1
Verotta, D.2
Blaschke, T.F.3
Sheiner, L.B.4
-
9
-
-
0025490985
-
Networks for approximation and learning
-
Poggio, T. and F. Girosi (1990). Networks for approximation and learning. Proc. IEEE 78, 1481-1497.
-
(1990)
Proc. IEEE
, vol.78
, pp. 1481-1497
-
-
Poggio, T.1
Girosi, F.2
-
11
-
-
4243839021
-
Bayesian analysis of linear and nonlinear population models using the gibbs sampler
-
Wakefield, J., A. F. M. Smith, A. Racine-Poon and A. Gelfand (1994). Bayesian analysis of linear and nonlinear population models using the gibbs sampler. Appl. Statist. 41, 201-221.
-
(1994)
Appl. Statist.
, vol.41
, pp. 201-221
-
-
Wakefield, J.1
Smith, A.F.M.2
Racine-Poon, A.3
Gelfand, A.4
-
12
-
-
0030327432
-
The Bayesian modelling of covariates for population pharmacokinetic models
-
Wakefield, J. and J. Bennett (1996). The Bayesian modelling of covariates for population pharmacokinetic models. JASA 91, 917-927.
-
(1996)
JASA
, vol.91
, pp. 917-927
-
-
Wakefield, J.1
Bennett, J.2
-
13
-
-
0002295913
-
Gaussian processes for regression
-
(D. S. Touretzky, M. C. Mozer and M. E. Hasselmo, Eds.), Cambridge, MA: MIT Press
-
Williams, C. K. J. and C. E. Rasmussen (1996). Gaussian processes for regression. In: Advances in Neural Information Processing Systems (D. S. Touretzky, M. C. Mozer and M. E. Hasselmo, Eds.). Vol. 8. Cambridge, MA: MIT Press.
-
(1996)
Advances in Neural Information Processing Systems
, vol.8
-
-
Williams, C.K.J.1
Rasmussen, C.E.2
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