Hi there, I have to admit, I may be a little bit overly concerned with this kind of questions. On the other hand I think it may be an intersting statistics/probability-related question in its own right, but maybe it is just trivial, so please stop me if you think that you've heard this one before.
I am just wondering what happens when, from a specific point in time, you learn a deck that's completely messed up in terms of card ratings with respect to the "real" familiarity you have with individual cards (be it because you took it from somebody else and didn't reset the learning data, be it that you didn't grade the cards properly or for any other reason). My guess would be that, over time,it converges asymptotically (although with some lag) to the state of a deck whose cards have been rated properly, as you will rate those cards that are initially shown too often as being too simple and vice versa for those cards that are not presented often enough, so that the initial difference to the "ideal" state will cancel out over time. What do you think? --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "mnemosyne-proj-users" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/mnemosyne-proj-users?hl=en -~----------~----~----~----~------~----~------~--~---
