Selecting examples for perceptrons
Author:
Publisher
IOP Publishing
Subject
General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics
Link
http://stacks.iop.org/0305-4470/25/i=1/a=016/pdf
Reference14 articles.
1. The Hebb Rule for Learning Linearly Separable Boolean Functions: Learning and Generalization
2. Linear and Nonlinear Extension of the Pseudo-Inverse Solution for Learning Boolean Functions
3. On the ability of the optimal perceptron to generalise
4. First-order transition to perfect generalization in a neural network with binary synapses
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