Error Bounds and Improved Probability Estimation using the Maximum Likelihood Set

The maximum likelihood set (MLS) is a novel candidate for nonparametric probability estimation from small samples that permits incorporating prior or structural knowledge into the estimator. It is a set of probability distributions which assign to the observed type (or empirical distribution) a like...

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Bibliographische Detailangaben

Hauptverfasser:	Karakos, D., Khudanpur, S.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Bayesian methods Entropy Estimation error High level synthesis Maximum likelihood estimation Multilevel systems Natural languages Probability distribution Smoothing methods Speech processing
Online-Zugang:	Volltext bestellen
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