L_1-regularized Boltzmann machine learning using majorizer minimization

11 Mar 2015 Masayuki Ohzeki

We propose an inference method to estimate sparse interactions and biases according to Boltzmann machine learning. The basis of this method is $L_1$ regularization, which is often used in compressed sensing, a technique for reconstructing sparse input signals from undersampled outputs... (read more)

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