Concentration and Confidence for Discrete Bayesian Sequence Predictors
Bayesian sequence prediction is a simple technique for predicting future symbols sampled from an unknown measure on infinite sequences over a countable alphabet. While strong bounds on the expected cumulative error are known, there are only limited result
|Collections||ANU Research Publications|
|Source:||Algorithmic learning theory : 24th international conference, ALT 2013, Singapore, October 6-9 2013 : proceedings|
|Access Rights:||Open Access|
|01_Lattimore_Concentration_and_Confidence_2013.pdf||298.89 kB||Adobe PDF|
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