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@Didi

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Since 05.06.2026

Monero Inflation Checker(moneroinflation.com)
Welcome! We are 12y 59d 16h 37m 50s without an inflation bug. There are currently: 18,761,061.507967225895 XMR in circulation. Last block verified: 3661980 Here you will find some tools to help you understand why inflation is not happening in Monero. Use the menu on the left to navigate. Inflation Goals Contact Overview Notation V1:PreRingCT V2/T1:RCTTypeFull V2/T2:RCTTypeSimple V2/T3:RCTTypeBulletproof V2/T4:RCTTypeBulletproof2 V2/T5:RCTTypeCLSAG V2/T6:RCTTypeBulletproofPlus Pre-RingCT MLSAG CLSAG Pre-RingCT Confidential Transaction Bulletproof Bulletproof+ Key_images Emission
Anomaly Detection vs Classification for Visually Similar Cancer vs Mimics? [P](reddit.com)
I'm working on a paper and would love some input on model choice. Suppose you're trying to detect a specific type of cancer, but the negative samples are visually and morphologically very similar (i.e., “mimics” of the cancer). In this setting, would it make more sense to approach the problem as: Anomaly detection (treating the cancer as the target distribution and everything else as out-of-distribution), or Supervised classification (explicitly learning to distinguish cancer vs. mimics)? submitted by /u/DryHat3296 [link] [Kommentare]