Equivalence Proofs for Multi-Layer Perceptron Classifiers and the Bayesian Discriminant Function

[1]  H. Bourlard,et al.  Links Between Markov Models and Multilayer Perceptrons , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  H. Gish,et al.  A probabilistic approach to the understanding and training of neural network classifiers , 1990, International Conference on Acoustics, Speech, and Signal Processing.

[3]  Alexander H. Waibel,et al.  A novel objective function for improved phoneme recognition using time delay neural networks , 1990, International 1989 Joint Conference on Neural Networks.

[4]  George Cybenko,et al.  Approximation by superpositions of a sigmoidal function , 1989, Math. Control. Signals Syst..

[5]  R. Lippmann.  Pattern classification using neural networks , 1989, IEEE Communications Magazine.

[6]  Geoffrey E. Hinton.  Connectionist Learning Procedures , 1989, Artif. Intell..

[7]  David Haussler,et al.  What Size Net Gives Valid Generalization? , 1989, Neural Computation.

[8]  Stephen Jose Hanson,et al.  Minkowski-r Back-Propagation: Learning in Connectionist Models with Non-Euclidian Error Signals , 1987, NIPS.

[9]  M. Degroot,et al.  Probability and Statistics , 1977 .

[10]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.