astrofinch
Joined 16 years ago
Joined 16 years ago
Where do you see microtransactions being applied in practice?
Not quite. If you have a uniform prior, there will be no difference between MAP and MLE.
>From the vantage point of Bayesian inference, MLE is a special case of maximum a posteriori estimation (MAP) that assumes a uniform prior distribution of the parameters.
https://en.wikipedia.org/wiki/Maximum_likelihood_estimation
More discussion here:
https://stats.stackexchange.com/questions/64259/how-does-a-u...
The lore I've heard is that most new deep learning training algorithms (optimization algorithms) only work better on particular special cases, and it is hard to do better than the established algorithms in general.
I'm also not sure why you're saying they're applicable beyond deep learning--how do you plan to train a PGM or SVM using Adam?
"the company is owned by tyrants"
Citation needed.
Nice. I like the idea of cohousing in undiscovered interesting places.