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Protected: Theory of Noisy L1-Norm Minimization as Machine Learning Based on Sparsity (1)

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2024.03.20 2023.01.06

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スパースモデリング機械学習:Machine Learning

AI artificial intelligence Berstein's Inequality Boolean Inequality Cauchy-Schwarz Inequality Chi Square Distribution digital transformation Dual Norm DX Heffding's Inequality Hem Probability Herder's Inequality k Sparse L∞ Norm Multidimensional Gaussian Spectrum L1 Norm Minimization Lesser Gaussian Noise machine learning Markov's Inequality ML Noisy Norm Compatibility Normal Distribution Regression Coefficient Vector regularization parameter Sparse Vector Sparsity theory Threshold Union Bound

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