On the Generalisation Ability of Diluted Perceptrons
نویسنده
چکیده
A linearly separable Boolean function is learned by a diluted perceptron with optimal stability. A diierent level of dilution is allowed for teacher and student perceptron. The learning algorithms used were the optimal annealed dilution and Hebbian dilution. The generalisation ability, i.e. the probability to recognize a pattern which has not been learned before, is calculated in replica symmetry.
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تاریخ انتشار 1994