Comments (2)
It doesn't really predict anything better, but the curves are a lot prettier. There's a lot of holes in the Nsyllables data.
from brainscopypaste-paper.
And both features are really correlated, so dropping number of syllables.
from brainscopypaste-paper.
Related Issues (20)
- Correlations intra WN, intra FA, and inter network, are relatively low HOT 2
- Results don't differ between FA and WN HOT 3
- Nodes with high index values are usually different between FA and WN HOT 1
- In H0, destination word is chosen randomly in the pool of words *of the network used* HOT 1
- Add word frequency as a feature HOT 1
- Recheck POS effect after bugfixes HOT 1
- Can we frame the evolution as a Markov Chain and apply standard tools to it? HOT 1
- Use 'bin' instead of 'time bag' HOT 1
- Put examples directly in the intro
- Fix counts HOT 8
- Evaluate filters (language, spam) HOT 1
- Prediction → result path
- Relate to missed literature
- Improve features, their selection, and their usage
- Robustness of results HOT 4
- Review claims about contractile process HOT 1
- Strengthen the case for single-substitution
- Misc. details
- Cover letter
- Supplementary Material
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from brainscopypaste-paper.