Viewing profile — jondea
jondea
HN member- Joined
- Wed, Mar 22, 2017, 9:31 AM UTC
- HN karma
- 54
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- 11 items
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About jondea
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Recent public activity
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Comment #49115612
In the Dictator's Handbook the authors argued that FIFA and IOC function similar to autocratic dictatorships because there is a small group of people who are essential to power. Th…
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Comment #48220711
It's less compromised, but it's still basing the answer on compromised queries. This is why I pay for independent reviews (e.g Which) where their incentives are more aligned with y…
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Comment #47748981
A single energy source having a capacity factor of 10% does not imply that gas plants will have to run 90% of the time. It ignores storage, over-provisioning, aggregation of uncorr…
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Comment #47496504
Could you give some sources for this? I can't seem to find anything with a cursory search, but I'd be interested in reading.
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Comment #47179279
The JuliaParallel/rodinia repo says that the focus of those benchmarks is the CUDA versions. I suspect that the CPU versions have not had much optimization effort spent on them. Ju…
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Comment #47178211
I broadly agree that it can be hard to nail down Julia's behaviour but it does have static typing and I think it is more subtle. Function arguments and variables can be concrete ty…
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Comment #45455184
Do any of the Scottish National Party, Plaid Cymru or Sinn Féin count? I have no doubt there are similar elsewhere...
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Comment #45209124
I'm surprised it isn't mentioned in the article, but you can get rid of yellow stains by putting your clothes out in the sun.
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Comment #39376272
If it helps, the meta analysis is called: Volatile organic compounds analysis as promising biomarkers for Parkinson’s disease diagnosis: A systematic review and meta Absolutely, it…
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Comment #39363539
I'm not an expert, but a very quick search showed a meta analysis[1] which considers the false positives of using volatile biomarkers as a diagnosis. The original paper[2], of whic…
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Comment #35575383
Computing convolutions using FFTs is efficient for large kernels (or filters). Most convolutions in popular ML models have small kernels, a regime where it is typically more effici…