A Theory of Networks for Approximation and Learning (1989)

by Tomaso Poggio , Federico Girosi
Venue:Laboratory, Massachusetts Institute of Technology
Citations:170 - 25 self

Active Bibliography

257 Regularization Theory and Neural Networks Architectures – Federico Girosi, Michael Jones, Tomaso Poggio - 1995
12 The Informational Complexity of Learning from Examples – Partha Niyogi - 1996
81 Networks and the Best Approximation Property – Federico Girosi, Tomaso Poggio - 1989
21 Some extensions of radial basis functions and their applications in artificial intelligence – Federico Girosi - 1992
5 Sequential Constructive Techniques – Marco Muselli - 1998
2 Neural Networks: A Pattern Recognition Perspective – Christopher M. Bishop - 1996
7 An Investigation of Feedforward Neural Networks with Respect to the Detection of Spurious Patterns – Germano Crispim Vasconcelos - 1995
2 Faithful Representations and Moments of Satisfaction: Probabilistic Methods in Learning and Logic – Lidror Troyansky, Prof Naftali Tishby - 1998
5 Constructing Computationally Efficient Bayesian Models via Unsupervised Clustering – Petri Myllymäki, Henry Tirri - 1995
42 On the Relationship Between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis Functions – Partha Niyogi, Federico Girosi - 1996
5 Optimal Learning in Artificial Neural Networks: A Theoretical View – M. Bianchini, M. Gori
2 Functional Networks: A New Computational Framework for the Specification, Simulation and Algebraic Manipulation of Modular Neural Systems – Massimo de Francesco - 1994
k. Results indicate that this procedure is very effective in estimating good feature weights (Table 4.8). Particularly the results obtained in the – Banded Sinusoidal Tasks - 1994
21 A Neural Network Primer – Hervé Abdi - 1994
2 Statistical Physics of Clustering Algorithms – Thore Graepel - 1998
193 Deterministic Annealing for Clustering, Compression, Classification, Regression, and Related Optimization Problems – Kenneth Rose - 1998
17 Identification and Control of Nonlinear Systems Using Neural Network Models: Design and Stability Analysis – Marios M. Polycarpou, Petros A. Ioannou - 1991
28 Generalization Bounds for Function Approximation from Scattered Noisy Data – Partha Niyogi, Federico Girosi - 1998
66 Priors, Stabilizers and Basis Functions: from regularization to radial, tensor and additive splines – Federico Girosi, Michael Jones - 1993