A fork of Rural Dictionary
in contrast to parametric, semiparametric, and nonparametric approaches to inference, a hackometric approach completely lacks theory. it is any approach which essentially throws a bunch of machine learning algorithms at a problem and gets some kind of solution.
our nonparametric classifier estimator worked ok. our hackometric approach works as follows: log-transform the data, apply SVD, keep the first 6 singular values & vectors, and the last 2, and then put them through a SVM with a RBF kernel. this improves results by 0.002%, which is significant at alpha=0.05 level (uncorrected for multiple tests).
it's like methinks, but implies more confidence
only appropriate for describing first person experience in the moment
i'm loving you in this moment, mesures
an err in thought, by analogy with typo
student: please give me credit for that incorrect answer on the test.
teacher: why? was it a typo?
student: not a typo, exactly, more like a thoughto.
teacher: no.
specifies a particular place and time
"in which placetime would you love to be making love?"
"all."
the collection of all concepts
my connectome stores my conceptome.
As Close to As Soon As Possible
"Are you coming home soon?"
"I'll be there acasap!"