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変分ベイズ学習理論の最新動向

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Fig. 1. Bayes posteriors (top row) and the VB posteriors (bottom row) of a scalar fac-
Fig. 2. Linear neural network. である.縮小ランク回帰モデルは, Fig. 2 のような線形神経回路網として表すこともで きる. ここで,n 組の学習データ V n = {(x (1) , y (1) ),
Fig. 4. The variational Bayes (VB), the maximum likelihood (ML), and the Bayes gen- gen-eralization coefficients when L = 30, M = 50, H = 1,

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