boxfire

13 ms·

1. 121.▲
   by boxfire 11y ago

   Any problem where the data is imprecise or the model itself is very approximate. Machine learning type problems, machine vision, as the paper shows interferometry, lossy image processing. I can think of a few more data processing problems,
2. 122.▲
   by boxfire 11y ago

   Having dæmon instead of daemon in the article makes my blood boil a little, but I managed to push through. The ligature has no place in writing about computer daemons. It might apply if we were having a talk about medieval literature regard
3. 123.▲
   by boxfire 11y ago

   I find the Kalman filter explanation in terms of the Chokesky decomposition by R. Eubank to be excellent. It has a prerequisite of knowing linear regression (the linear algebra actually know what you are doing type), but made the inference
4. 124.▲
   by boxfire 11y ago

   I would LOVE to see some form of PANDA integration with a tool like this. https://github.com/moyix/panda Having this kind of analysis on a PANDA replay / snapshot would be great. The combination of the two would b
5. 125.▲
   by boxfire 11y ago

   Originally in my terminal I was experimenting to find a cutoff for the point where the numbers become inaccurate. All of those formulas were in terms of digits and had a -1 on the end.
6. 126.▲
   by boxfire 11y ago

   > echo 'scale=500-1;10/(10^20-10^10-1)' | BC_LINE_LENGTH=12 bc will give you the ten digit ones, with the last digit rounded up on the very end. I havent quite got an exact formula for scale before the rounding is wrong, e