#散度
Live, measured metrics for the hashtag #散度 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #散度
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-26 09:05 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-08-26 09:05 UTCNo related tags with measured usage found for #散度.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-26 09:05 UTCEverything below is measured over the latest 1 public posts.
Posting hours (UTC)
Languages: Chinese (Taiwan) (1)
Avg boosts / post: 0
Top of the latest posts
🌗 混合體的熵 ➤ 探討機率混合與資訊量 ✤ https://cgad.ski/blog/entropy-of-a-mixture.html 本文探討了混合機率分佈的熵，具體而言，對於兩個機率密度函數 p0 和 p1，以及一個介於 0 到 1 之間的插值因子 λ，考慮混合機率 pλ = (1-λ)p0 + λp1。文章研究了熵 H(pλ) 隨著 λ 的變化而產生的變化，並揭示了熵作為機率函數是凹函數的性質。進一步地，文章探討了 JSD 散度、KL 散度和 χ² 散度如何從
#散度 across platforms
every network with a public tag surfaceFollow #散度 straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/散度