#probabilisticgraphicalmodels

Live, measured metrics for the hashtag #probabilisticgraphicalmodels from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0
Avg reactions / post
Mastodon · last 4

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 20:13 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

0 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 2026-07-27 20:13 UTC

No related tags with measured usage found for #probabilisticgraphicalmodels.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 20:13 UTC

Everything below is measured over the latest 4 public posts (spanning ~22505 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (4)

Avg boosts / post: 0.3

Top of the latest posts

  • Experiments show LIFAGU achieves near‑zero error vs. ground truth and speeds up inference via lifting, generalizing colour passing to unknown factors. https://hackernoon.com/when-graphs-have-gaps-lifagu-finds-symmetry-and-speeds-up-inferenc

    HackerNoon@[email protected]♥ 0↻ 02025-08-26 12:15 UTCView post →

  • The LIFAGU algorithm transfers potentials from known to unknown factors via structural symmetry, generalizing colour passing and enabling lifted inference. https://hackernoon.com/when-some-factors-go-missing-lifagu-finds-the-symmetries #pro

    HackerNoon@[email protected]♥ 0↻ 02025-08-26 12:00 UTCView post →

  • This paper introduces LIFAGU, a generalization of colour passing to lift factor graphs with unknown factors, enabling exact probabilistic inference. https://hackernoon.com/lifagu-lifted-probabilistic-inference-in-factor-graphs-with-unknown-

    HackerNoon@[email protected]♥ 0↻ 02025-08-25 20:55 UTCView post →

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/probabilisticgraphicalmodels