Английская Википедия:Context tree weighting

Материал из Онлайн справочника
Версия от 09:32, 21 февраля 2024; EducationBot (обсуждение | вклад) (Новая страница: «{{Английская Википедия/Панель перехода}} The '''context tree weighting method''' ('''CTW''') is a lossless compression and prediction algorithm by {{harvnb|Willems|Shtarkov|Tjalkens|1995}}. The CTW algorithm is among the very few such algorithms that offer both theoretical guarantees and good practical performance (see, e.g. {{harvnb|Begleiter|El-Yaniv|Yona|2004}}). The CTW algorithm is an “Ensemble learning|ensemble...»)
(разн.) ← Предыдущая версия | Текущая версия (разн.) | Следующая версия → (разн.)
Перейти к навигацииПерейти к поиску

The context tree weighting method (CTW) is a lossless compression and prediction algorithm by Шаблон:Harvnb. The CTW algorithm is among the very few such algorithms that offer both theoretical guarantees and good practical performance (see, e.g. Шаблон:Harvnb). The CTW algorithm is an “ensemble method”, mixing the predictions of many underlying variable order Markov models, where each such model is constructed using zero-order conditional probability estimators.

References

External links

Шаблон:Compression methods

Шаблон:Comp-sci-stub