lasso1

3 ms·

1.
Review shows no benefit of ML over logistic regression for clinical prediction(jclinepi.com)
2 points by lasso1 8y ago|0 comments
2.
by lasso1 8y ago
Along the same lines, convergence is mentioned as a candidate for interpretability but convexity is not mentioned even once.
3.
by lasso1 9y ago
Interestingly, according to the NYT Cruz campaign staffers did not think it worked: "But Cambridge’s psychographic models proved unreliable in the Cruz presidential campaign, according to Rick Tyler, a former Cruz aide, and another con
4.
by lasso1 9y ago
They actually do adress this, in what i thought was the weakest part of the paper, the "non-key factors" section. Fourth, vaccines are only active while pathogens are inside hosts, but drugs can remain active in environmental rese
5.
Optimum release time of a software under periodic debugging schedule(tandfonline.com)
1 points by lasso1 9y ago|0 comments
6.
by lasso1 10y ago
Yes i know the feeling. Our field has some very arbitrary threshold for noise on single features, sounds like there is some slightly more principled strategy in single cell genomics?
7.
by lasso1 10y ago
Thanks! I happen to have some super high-dimensional data (~100k-1m dimensions), which takes a huge amount of time to work with because i have to custom write everything, and i notice they claim all their underlying functions use sparse mat
8.
by lasso1 10y ago
This sounds interesting. I am in a field where a lot more focus is on visualizing samples using different metrics with PcOA instead of using regular PCA. If i just scroll through the Zheng et al arxiv paper it all seems a little arbitrary t
9.
Ten Simple (Empirical) Rules for Writing Science(journals.plos.org)
2 points by lasso1 10y ago|0 comments
10.
by lasso1 11y ago
Here is some critical comments about the universal nature of power laws in science (in Science): http://science.sciencemag.org/content/335/6069/665.full