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cs.LG2019
Efficient Training of Deep Classifiers for Wireless Source Identification using Test SNR Estimates
Xingchen Wang, Shengtai Ju, Xiwen Zhang +2
We study efficient deep learning training algorithms that process received wireless signals, if a test Signal to Noise Ratio (SNR) estimate is available. We focus on two tasks that…
cs.LG2019
Efficient Wrapper Feature Selection using Autoencoder and Model Based Elimination
Sharan Ramjee, Aly El Gamal
We propose a computationally efficient wrapper feature selection method - called Autoencoder and Model Based Elimination of features using Relevance and Redundancy scores (AMBER) -…