Classification using hierarchical mixtures of experts
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[1] Marvin Minsky,et al. Perceptrons: An Introduction to Computational Geometry , 1969 .
[2] P. McCullagh,et al. Generalized Linear Models , 1972, Predictive Analytics.
[3] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[4] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[5] Gerald Tesauro,et al. Scaling Relationships in Back-propagation Learning , 1988, Complex Syst..
[6] Robert A. Jacobs,et al. Increased rates of convergence through learning rate adaptation , 1987, Neural Networks.
[7] K. Lang,et al. Learning to tell two spirals apart , 1988 .
[8] John Scott Bridle,et al. Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition , 1989, NATO Neurocomputing.
[9] Christian Lebiere,et al. The Cascade-Correlation Learning Architecture , 1989, NIPS.
[10] David H. Wolpert,et al. Stacked generalization , 1992, Neural Networks.
[11] Robert A. Jacobs,et al. Hierarchical Mixtures of Experts and the EM Algorithm , 1993, Neural Computation.
[12] Michael I. Jordan,et al. Hierarchical Mixtures of Experts and the EM Algorithm , 1994, Neural Computation.