Discretized-Vapnik-Chervonenkis Dimension For Analyzing Complexity Of Real Function Classes

IEEE-inst Electrical Electronics Engineers Inc
Publication Type:
Journal Article
IEEE Transactions On Neural Networks And Learning Systems, 2012, 23 (9), pp. 1461 - 1472
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In this paper, we introduce the discretized-Vapnik-Chervonenkis (VC) dimension for studying the complexity of a real function class, and then analyze properties of real function classes and neural networks. We first prove that a countable traversal set i
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