-
1
-
-
0001119510
-
Mixtures of controllers for jump linear and non-linear plants
-
G. Tesauro, D.S. Touretzky, Leen T.K. San Mateo, CA: Kaufmann
-
Cacciatore T.W., Nowlan S.J. Mixtures of controllers for jump linear and non-linear plants. Tesauro G., Touretzky D.S., Leen T.K. Advances in neural information processing systems. 6:1994;Kaufmann, San Mateo, CA.
-
(1994)
Advances in Neural Information Processing Systems
, vol.6
-
-
Cacciatore, T.W.1
Nowlan, S.J.2
-
2
-
-
0003744820
-
-
Technical Report CRG-TR-96-1, Department of Computer Science, University of Toronto, Toronto, Ontario
-
Ghahramani, Z. & Hinton, G.E. (1996). The EM algorithm for mixtures of factor analyzers. Technical Report CRG-TR-96-1, Department of Computer Science, University of Toronto, Toronto, Ontario.
-
(1996)
The EM Algorithm for Mixtures of Factor Analyzers
-
-
Ghahramani, Z.1
Hinton, G.E.2
-
3
-
-
0001837853
-
Improving the mean field approximation via the use of mixture distributions
-
M.I. Jordan. Dordrecht: Kluwer Academic
-
Jaakkola T.S., Jordan M.I. Improving the mean field approximation via the use of mixture distributions. Jordan M.I. Learning in graphical models. 1998;Kluwer Academic, Dordrecht.
-
(1998)
Learning in Graphical Models
-
-
Jaakkola, T.S.1
Jordan, M.I.2
-
5
-
-
0033161418
-
On the approximation rate of hierarchical mixtures-of-experts for generalized linear models
-
in press
-
Jiang W., Tanner M.A. On the approximation rate of hierarchical mixtures-of-experts for generalized linear models. Neural Computation. 11:1999;1183-1198. in press.
-
(1999)
Neural Computation
, vol.11
, pp. 1183-1198
-
-
Jiang, W.1
Tanner, M.A.2
-
6
-
-
0000262562
-
Hierarchical mixtures of experts and the EM algorithm
-
Jordan M.I., Jacobs R.A. Hierarchical mixtures of experts and the EM algorithm. Neural Computing. 6:1994;181-214.
-
(1994)
Neural Computing
, vol.6
, pp. 181-214
-
-
Jordan, M.I.1
Jacobs, R.A.2
-
7
-
-
0029617280
-
Convergence results for the EM approach to mixtures-of-experts architectures
-
Jordan M.I., Xu L. Convergence results for the EM approach to mixtures-of-experts architectures. Neural Networks. 8:1995;1409-1431.
-
(1995)
Neural Networks
, vol.8
, pp. 1409-1431
-
-
Jordan, M.I.1
Xu, L.2
-
8
-
-
0009204610
-
-
A.I. Memo No. 1567, Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA.
-
Meila, M. & Jordan, M.I. (1995). Learning fine motion by Markov mixtures of experts. A.I. Memo No. 1567, Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA.
-
(1995)
Learning Fine Motion by Markov Mixtures of Experts
-
-
Meila, M.1
Jordan, M.I.2
-
9
-
-
0021404166
-
Mixture densities, maximum likelihood and the EM algorithm
-
Redner R.A., Walker H.F. Mixture densities, maximum likelihood and the EM algorithm. SIAM Review. 26:1984;195-202.
-
(1984)
SIAM Review
, vol.26
, pp. 195-202
-
-
Redner, R.A.1
Walker, H.F.2
-
10
-
-
0026897370
-
Uniqueness of the weights for minimal feedforward nets with a given input-output map
-
Sussmann H.J. Uniqueness of the weights for minimal feedforward nets with a given input-output map. Neural Networks. 5:1992;589-593.
-
(1992)
Neural Networks
, vol.5
, pp. 589-593
-
-
Sussmann, H.J.1
-
12
-
-
0000607206
-
Identifiability of finite mixtures
-
Teicher H. Identifiability of finite mixtures. Annals of Mathematical Statistics. 34:1963;1265-1269.
-
(1963)
Annals of Mathematical Statistics
, vol.34
, pp. 1265-1269
-
-
Teicher, H.1
-
13
-
-
0004191977
-
-
Technical Report NCRG-97-003, Department of Computer Science and Applied Mathematics, Aston University, Birmingham, UK
-
Tipping, M.E. & Bishop, C.M. (1997). Mixtures of probabilistic principal component analysers. Technical Report NCRG-97-003, Department of Computer Science and Applied Mathematics, Aston University, Birmingham, UK.
-
(1997)
Mixtures of Probabilistic Principal Component Analysers
-
-
Tipping, M.E.1
Bishop, C.M.2
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