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How Dependencies between Successive Examples Affect On-Line Learning.

, and . Neural Computation, 8 (8): 1743-1765 (1996)

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Bayesian Networks for Expert Systems: Theory and Practical Applications., , and . Interactive Collaborative Information Systems, volume 281 of Studies in Computational Intelligence, Springer, (2010)Approximations with Reweighted Generalized Belief Propagation.. AISTATS, Society for Artificial Intelligence and Statistics, (2005)Approximate Expectation Maximization., , and . NIPS, page 353-360. MIT Press, (2003)A theoretical comparison of batch-mode, on-line, cyclic, and almost-cyclic learning., and . IEEE Trans. Neural Networks, 7 (4): 919-925 (1996)Optimal on-line scheduling in stochastic multiagent systems in continuous space-time., , and . AAMAS, page 112. IFAAMAS, (2007)Variational Approximations between Mean Field Theory and the Junction Tree Algorithm.. UAI, page 626-633. Morgan Kaufmann, (2000)Tractable Variational Structures for Approximating Graphical Models., and . NIPS, page 183-189. The MIT Press, (1998)A Bayesian petrophysical decision support system for estimation of reservoir compositions., , , and . Expert Syst. Appl., 37 (12): 7526-7532 (2010)Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems., , and . J. Artif. Intell. Res., (2008)Optimising newspaper sales using neural-Bayesian technology., , , and . Neural Computing and Applications, 12 (3-4): 212-219 (2003)