In this limit, variations in kernel regression’s performance due to the differences in how the training set is formed, which is assumed to be a stochastic process, become negligible. The precise nature of the limit depends on the kernel and the data distribution. In this work, we consider ...
but the older we get, the faster “time flies”. Yet, it is an open question why that is. One possible answer relates to age-specific differences in the neural mechanisms underlying time and event perception.