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- Krichevsky–Trofimov_estimator abstract "In information theory, given an unknown stationary source π with alphabet A, and a sample w from π, the Krichevsky–Trofimov (KT) estimator produces an estimate πi(w) of the probabilities of each symbol i ∈ A. This estimator is optimal in the sense that it minimizes the worst-case regret asymptotically.For a binary alphabet, and a string w with m zeroes and n ones, the KT estimator can be defined recursively as:".
- Krichevsky–Trofimov_estimator wikiPageID "26292477".
- Krichevsky–Trofimov_estimator wikiPageRevisionID "573208170".
- Krichevsky–Trofimov_estimator subject Category:Data_compression.
- Krichevsky–Trofimov_estimator subject Category:Probability_theory.
- Krichevsky–Trofimov_estimator comment "In information theory, given an unknown stationary source π with alphabet A, and a sample w from π, the Krichevsky–Trofimov (KT) estimator produces an estimate πi(w) of the probabilities of each symbol i ∈ A. This estimator is optimal in the sense that it minimizes the worst-case regret asymptotically.For a binary alphabet, and a string w with m zeroes and n ones, the KT estimator can be defined recursively as:".
- Krichevsky–Trofimov_estimator label "Krichevsky–Trofimov estimator".
- Krichevsky–Trofimov_estimator sameAs Krichevsky%E2%80%93Trofimov_estimator.
- Krichevsky–Trofimov_estimator sameAs Q6436967.
- Krichevsky–Trofimov_estimator sameAs Q6436967.
- Krichevsky–Trofimov_estimator wasDerivedFrom Krichevsky–Trofimov_estimator?oldid=573208170.