Context Tree Weighting (CTW) is a statistical data compression algorithm that combines elements of context modeling and adaptive coding. It is particularly efficient for sequences of symbols, such as text or binary data, and is capable of achieving near-optimal compression rates under certain conditions. CTW is built upon the principles of context modeling and uses a tree structure to manage and utilize context information for predictive coding.
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