-
3
-
-
0031207136
-
Artificial neural network methods in quantum mechanics
-
Lagaris, I. E., Likas, A., & Fotiadis, D. I. (1997). Artificial neural network methods in quantum mechanics. Computer Physics Communications, 104, 1-14.
-
(1997)
Computer Physics Communications
, vol.104
, pp. 1-14
-
-
Lagaris, I.E.1
Likas, A.2
Fotiadis, D.I.3
-
4
-
-
0032165970
-
Artificial neural networks for solving ordinary and partial differential equations
-
Lagaris, I. E., Likas, A., & Fotiadis, D. I. (1998). Artificial neural networks for solving ordinary and partial differential equations. IEEE Transactions on Neural Networks, 9.
-
(1998)
IEEE Transactions on Neural Networks
, vol.9
-
-
Lagaris, I.E.1
Likas, A.2
Fotiadis, D.I.3
-
5
-
-
0034270127
-
Neural network methods for boundary value problems with irregular boundaries
-
Lagaris, I. E., Likas, A., & Papageougiou, D. G. (2000). Neural network methods for boundary value problems with irregular boundaries. IEEE Transactions on Neural Networks, 11.
-
(2000)
IEEE Transactions on Neural Networks
, vol.11
-
-
Lagaris, I.E.1
Likas, A.2
Papageougiou, D.G.3
-
6
-
-
0040187698
-
Bayesian inverse quantum theory
-
Lemm, J. C., & Uhlig, C. (1999). Bayesian inverse quantum theory. Few Body Systems, 29, 25-52.
-
(1999)
Few Body Systems
, vol.29
, pp. 25-52
-
-
Lemm, J.C.1
Uhlig, C.2
-
7
-
-
0003319647
-
Introduction to Gaussian processes
-
C. M. Bishop (Ed.). Berlin: Springer
-
MacKay, D. J. C. (1998). Introduction to Gaussian processes. In C. M. Bishop (Ed.), Neural networks and machine learning, 133-165. Berlin: Springer.
-
(1998)
Neural Networks and Machine Learning
, pp. 133-165
-
-
MacKay, D.J.C.1
-
8
-
-
0342771489
-
Bayesian inference for wind field retrieval
-
Nabney, I. T., Cornford, D., & Williams, C. K. I. (1999). Bayesian inference for wind field retrieval. Neurocomputing Letters, 26-27, 1013-1018.
-
(1999)
Neurocomputing Letters
, vol.26-27
, pp. 1013-1018
-
-
Nabney, I.T.1
Cornford, D.2
Williams, C.K.I.3
-
9
-
-
85011908088
-
Bayesian solution of ordinary differential equations
-
G. J. Erickson and C. R. Smith (Eds.). Berlin: Kluwer
-
Skilling, J. (1992). Bayesian solution of ordinary differential equations. In G. J. Erickson and C. R. Smith (Eds.), Maximum entropy and bayesian methods. Berlin: Kluwer.
-
(1992)
Maximum Entropy and Bayesian Methods
-
-
Skilling, J.1
-
10
-
-
24044515976
-
On a kernel-based method for pattern recognition, regression, approximation and operator inversion
-
Smola, A. J., & Schölkopf, B. (1998). On a kernel-based method for pattern recognition, regression, approximation and operator inversion. Algorithmica, 22, 211-231.
-
(1998)
Algorithmica
, vol.22
, pp. 211-231
-
-
Smola, A.J.1
Schölkopf, B.2
-
11
-
-
84898995949
-
Derivative observations in Gaussian process models of dynamic systems
-
Cambridge, MA: MIT Press
-
Solak, E., Murray-Smith, R., Leithead, W. E., Leith, D. J., & Rasmussen, C. E. (2003). Derivative observations in Gaussian process models of dynamic systems. Advances in Neural Information Processing Systems 15. Cambridge, MA: MIT Press.
-
(2003)
Advances in Neural Information Processing Systems
, vol.15
-
-
Solak, E.1
Murray-Smith, R.2
Leithead, W.E.3
Leith, D.J.4
Rasmussen, C.E.5
-
13
-
-
4243809461
-
Neural network differential equation and plasma equilibrium solver
-
van Milligen, B. P., Tribaldos, V., & Jimënes, J. A. (1995). Neural network differential equation and plasma equilibrium solver. Physical Review Letters, 75, 3594-3597.
-
(1995)
Physical Review Letters
, vol.75
, pp. 3594-3597
-
-
Van Milligen, B.P.1
Tribaldos, V.2
Jimënes, J.A.3
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