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Neural Networks with L-1 Regularizer for Sparse Representation of Input Data

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Indexed by:会议论文

Date of Publication:2014-01-01

Included Journals:CPCI-S

Page Number:437-440

Key Words:Neural network; Sparsification; L-1 regularization; Gradient descent method

Abstract:A L-1 regularizer is proposed in this paper for the sparsification of the input data supplied to an artificial neural network. Gradient-descent method is used for solving the resulting optimization problem. Numerical experiments show the efficiency of the algorithm.

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