#svms
Live, measured metrics for the hashtag #svms from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #svms
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 2026-07-28 09:14 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 2026-07-28 09:14 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 09:14 UTCEverything below is measured over the latest 7 public posts (spanning ~11210 hours).
Posting hours (UTC)
Languages: English (4) · German (1) · Polish (1)
Avg boosts / post: 1.4
Top of the latest posts
Es war mir eine Freude auf der #m3_2024 Konferenz in #Köln zur Klassifikation eindimensionaler Ultraschall-Signale sprechen zu dürfen (siehe: https://www.m3-konferenz.de/veranstaltung-21724-0-good-enough-for-biomedical-signals--wenn-klassis
Müssen es immer rechenintensive #deeplearning Modelle sein oder reichen für manche Anwendungsfälle auch leichtgewichtigere Alternativen, wie #xgboost, #catboost, #lightgbm oder gar klassische Methoden wie #SVMs und #logisticregression? Auf
#Transformers as #SupportVectorRegressors #SVMs This is a huge - the implication is that the transformers implement cascades of "if-then-else" with the actions of these decisions being optimal tokens for the task solved by the next layer. I
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/svms