منابع مشابه
Multilayer Perceptrons May Learn Simple Rules Quickly
Zero temperature Gibbs learning is considered for a connected committee machine with K hidden units. For large K, the scale of the learning curve strongly depends on the target rule. When learning a perceptron, the sample size P needed for optimal generalization scales so that N P KN, where N is the dimension of the input. This even holds for a noisy perceptron rule if a new input is classiied ...
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ژورنال
عنوان ژورنال: Journal of Experimental Medicine
سال: 2007
ISSN: 1540-9538,0022-1007
DOI: 10.1084/jem.20411iti1