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Exact(11)
In this paper, we assume that n is the zero vector in order to make the problem easier.
For larger networks, we can also predetermine some alternative patterns to reduce the feasible solution space and make the problem easier to solve.
One of the approaches is the convex relaxation, such as BP [20], which replaces ||x||0 with ||x||1 to make the problem easier to solve.
Hence the reduction of the problem of achieving MFMS to achieving MF does not make the problem easier.
Moreover, we hypothesize that reducing the feature set might also make the problem easier to solve and therefore help the SVR algorithm to converge faster.
Motsinger et al. [ 15] have shown that patterns of correlation between SNPs can make the problem easier to solve in the absence of expert knowledge, although here we specifically examine uncorrelated SNPs.
Similar(48)
Do not make the problem easy.
In response to this, we submit the following researcher's guide to everyday machine learning as a gentle nudge forward: 1. Do not make the problem easy.
This makes the problem easier to visualize in three dimensions.
(iii) (iv) 7 Increasing learners' motivation to solve the problem Making the problem easier with simplification.
For making the problem easier, Anvari [6] divided the image into several windows.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com