write a paper for emse on moot #3
Description
- goal: common set of problems,
- notes on lifecycle of repos (and how we should expect to abonodon moot if ten years time)
- if better characterize data sets based on XXX, under different scenarios offer a justificable susbet of the data within
which to stress test your algorithm.
- background notes
- on optimization
- role of moo in SE
- run N optimizers and classfier data sets by the ones that all optimizer that all optimizers have trouble with
- table of baseline measures of what we should expect.
- #data sets used per paper
- express some commonality:
- domain
- dimensionality
- cluster the static attributes
- FLA metrics.
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