LATENT REFERENCES / TAG1
Markov Chain
Original title: マルコフ連鎖
This reference note belongs to Tag1 in Latent References, an archive curated by Keigo Yoshida. Its archive region is Analysis. The note preserves its source text and links so that readers can trace the material behind the 3D map.
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English translation of the archived note. JP shows the original text. Source links and literal code are retained; the translation does not update or independently verify the source claims.
A Markov chain is a probabilistic model in which future states depend only on the “current state,” unaffected by past history.
マルコフ連鎖とは、未来の状態が「現在の状態」のみによって決まり、過去の履歴には左右されないという確率モデルのことです。
Source updated 2026-10-06 · Snapshot 2026-10-08
Source links and calculated neighbors
Cosine values measure shared lexical features, not truth, agreement or identical meaning. Original reference links are labeled separately.
- Markov ChainComputed lexical cosine similarity 0.652 · shared title, text, tags and references
- Markov Decision ProcessComputed lexical cosine similarity 0.219 · shared title, text, tags and references
- Hidden Markov ModelComputed lexical cosine similarity 0.185 · shared title, text, tags and references
- Tarkovsky: MirrorComputed lexical cosine similarity 0.159 · shared title, text, tags and references