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Results:
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Results: 5
Attractor dynamics in feedforward neural networks
Authors:
Saul, LK Jordan, MI
Citation:
Lk. Saul et Mi. Jordan, Attractor dynamics in feedforward neural networks, NEURAL COMP, 12(6), 2000, pp. 1313-1335
Asymptotic convergence rate of the EM algorithm for Gaussian mixtures
Authors:
Ma, JW Xu, L Jordan, MI
Citation:
Jw. Ma et al., Asymptotic convergence rate of the EM algorithm for Gaussian mixtures, NEURAL COMP, 12(12), 2000, pp. 2881-2907
Variational probabilistic inference and the QMR-DT network
Authors:
Jaakkola, TS Jordan, MI
Citation:
Ts. Jaakkola et Mi. Jordan, Variational probabilistic inference and the QMR-DT network, J ARTIF I R, 10, 1999, pp. 291-322
An introduction to variational methods for graphical models
Authors:
Jordan, MI Ghahramani, Z Jaakkola, TS Saul, LK
Citation:
Mi. Jordan et al., An introduction to variational methods for graphical models, MACH LEARN, 37(2), 1999, pp. 183-233
Mixed memory Markov models: Decomposing complex stochastic processes as mixtures of simpler ones
Authors:
Saul, LK Jordan, MI
Citation:
Lk. Saul et Mi. Jordan, Mixed memory Markov models: Decomposing complex stochastic processes as mixtures of simpler ones, MACH LEARN, 37(1), 1999, pp. 75-87
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