Convergence and loss bounds for Bayesian sequence prediction
The probability of observing xt at time t, given past observations x1 ⋯ xt-1 can be computed if the true generating distribution μ of the sequences x1x2x3 ⋯ is known. If μ is unknown, but known to belong to a class M one can base one's prediction on
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|Source:||IEEE Transactions on Information Theory|
|01_Hutter_Convergence_and_loss_bounds_2003.pdf||232.05 kB||Adobe PDF||Request a copy|
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