S. Hui and S.H. Zak. Robust stability analysis of adaptation algorithms for single perceptron. IEEE Transactions on Neural Networks, 2(2):325--328, 1991. Home/Search Document Not in Database Summary Related Articles Check |
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Worst-case Quadratic Loss Bounds for Prediction Using.. - Cesa-Bianchi, Long.. (1996) (Correct)
....In this paper we analyze the behavior of GD in the case in which there isn t necessarily a w for which for all t, y t = w; x t ) Faber and Mycielski [FM91] also studied this case, but their algorithms made use of side information which, in this paper, we assume is not available. Hui and Zak [HZ91] also studied the robustness of GD in the presence of noise in a similar setting, however they modelled observation noise, assuming that there was a w such that for all t y t = w; x t ) but that the learner s observation of y t was corrupted with noise. A more substantive difference is that ....
S. Hui and S.H. Zak. Robust stability analysis of adaptation algorithms for single perceptron. IEEE Transactions on Neural Networks, 2(2):325--328, 1991.
Efficient Higher-order Neural Networks for Classification and.. - Ghosh, Shin (1995) (5 citations) (Correct)
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S. Hui and S. H. Zak,"Robust Stability Analysis of Adaptation Algorithms for Single Perceptron, "IEEE Trans. on Neural networks , Vol.2, No.2, pp.325-328, 1991.
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