Regression Modeling in Back-Propagation and Projection Pursuit Learning (1994)

Cached

Download Links

by Jenq-neng Hwang , Shyh-Rong Lay , Martin Maechler , Doug Martin , Jim Schimert
Citations:65 - 1 self

Active Bibliography

7 What's Wrong with A Cascaded Correlation Learning Network: A Projection Pursuit Learning Perspective – Jenq-neng Hwang, Shih-Shien You, Shyh-rong Lay, I-Chang Jou
30 A review of dimension reduction techniques – Miguel Á. Carreira-perpiñán - 1997
104 A nonparametric approach to pricing and hedging derivative securities via learning networks – James M. Hutchinson, Andrew W. Lo, Tomaso Poggio - 1994
Communicated by Steven J. Nowlan Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks – Nathan Intrator
2 Neural Networks: A Pattern Recognition Perspective – Christopher M. Bishop - 1996
13 Successes And Failures Of Backpropagation: A Theoretical Investigation – P. Frasconi, M. Gori, A. Tesi
309 Regularization Theory and Neural Networks Architectures – Federico Girosi, Michael Jones, Tomaso Poggio - 1995
1 Novel Algorithms for Fast Statistical Analysis of Scaled Circuits – Amith Singhee - 2007
DERIVATIVE SECURITIES VIA – James M. Hutchinson, Andrew W. Lo, Tomaso Poggio - 1994
7 Optimal Learning in Artificial Neural Networks: A Theoretical View – M. Bianchini, M. Gori
17 Combining Exploratory Projection Pursuit And Projection Pursuit Regression With Application To Neural Networks – Nathan Intrator - 1992
1 Constructive Function Approximation: Theory and Practice – D. Docampo, D.R. Hush, C. T. Abdallah - 1997
UC-405 (Ml INTERPRETABLE PROJECTION PURSUIT* – Sally Claire Morton - 1989
1 Application of Projection Pursuit Learning to Boundary Detection and Deblurring in Images – Lesa M. Kennedy, Mitra Basu
11 Implementing Projection Pursuit Learning – Ying Zhao, Christopher G. Atkeson - 1996
66 Constructive Algorithms for Structure Learning in Feedforward Neural Networks for Regression Problems – Tin-yau Kwok, Dit-Yan Yeung - 1997
2 A Connection between GRBF and MLP – M. Maruyama, Minoru Maruyama, Federico Girosi, Tomaso Poggio - 1992
21 Design of Neural Network Filters – Jan Larsen - 1993
72 On The Problem Of Local Minima In Backpropagation – M. Gori, A. Tesi - 1992