• Identifiability up to permutation under diagonal dominance + covariate excitation
• O(√(d log dK / n)) generalization bound
When the context signal is weak, it degrades back to DS. No accuracy collapse.
Dawid–Skene assumes each labeler has one fixed reliability. But a sensor at 80m isn't the same as one at 10m. An annotator on an easy item isn't the same as on a hard one.
We make DS context-aware without breaking it:
• Log-linear correction on the logits of each confusion matrix, softmax-renormalized per row → valid context-conditioned confusion matrices by construction
• KL-proximal (mirror-descent) M-step warm-started at DS → provable monotone ascent
@asidorenko_ Cool Project 😎, Qq- does the tweets generated are just based on collection old tweets ‘words’ for any particular candidate or its sentiments or expression thought as per candidate? Also What kind of data was used in your project? 😊👍
@mcethtoken Hi team, patterns from different token sales in Dex tools .
1. Always keep updating token information to make it visible to consumers on Recently updated section.
2. Marketing during US time zone also
3. Marketing use cases to larger groups with comparisons
@Verox_AICrypto hello verox team, I have staked my verox tokens 2yrs back on https://t.co/cKmusX4wtW , now after a while when I am trying to check my staked tokens I can’t access this domain and also my tokens . Please suggest my right way to access my tokens
(Continued..)my request to air India is to provide some accommodation plan during such unexpected changes made from airlines, my parents are above 60yrs old,I request airlines to please provide some plan to accommodate them in airport!They are traveling from sfo to vtz via Delhi
@airindiain @RNTata2000 Hello Team, After reaching customer care many times and not received well, I m finally putting my request here,Due to technical issues at air India my parents itinerary is changed to new itinerary. According to new they have to now wait 24hrs in Delhi..