Basis-Function Trees for Approximation in High-Dimensional Spaces
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[1] Dennis Gabor,et al. A universal nonlinear filter, predictor and simulator which optimizes itself by a learning process , 1961 .
[2] Jon Louis Bentley,et al. Multidimensional binary search trees used for associative searching , 1975, CACM.
[3] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[4] Robert M. Farber,et al. How Neural Nets Work , 1987, NIPS.
[5] Guo-Zheng Sun,et al. A Novel Net that Learns Sequential Decision Process , 1987, NIPS.
[6] M. J. D. Powell,et al. Radial basis functions for multivariable interpolation: a review , 1987 .
[7] Bernard Widrow,et al. Adaptive switching circuits , 1988 .
[8] John E. Moody,et al. Fast Learning in Multi-Resolution Hierarchies , 1988, NIPS.
[9] John Moody,et al. Fast Learning in Networks of Locally-Tuned Processing Units , 1989, Neural Computation.
[10] Gérard Dreyfus,et al. Single-layer learning revisited: a stepwise procedure for building and training a neural network , 1989, NATO Neurocomputing.
[11] Geoffrey E. Hinton,et al. Distributed Representations , 1986, The Philosophy of Artificial Intelligence.
[12] Tomaso A. Poggio,et al. Extensions of a Theory of Networks for Approximation and Learning , 1990, NIPS.