theblackcat1002

9 ms·

31.
by theblackcat1002 8y ago
Well if the first day you shipped your product and it's already worth 1k, yeah it makes sense to do everything the "correct" way. But for most of the side projects and startup products this makes no sense at all.
32.
by theblackcat1002 8y ago
The reasons I choose not to use any pre-existing workflow are complexity and extra compute overhead. I think there's a need for micro workflow where it's simple enough you can setup a simple production workflow in a single python
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by theblackcat1002 8y ago
FYI, the top 6 results are mainly based on BERT which is proposed by Google[1]. [1] https://arxiv.org/abs/1810.04805
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by theblackcat1002 8y ago
this is a joke right?
35.
by theblackcat1002 8y ago
USB with and without thunderbolt was already confusing enough for your normal joe. Now you have 3 version of USB 3.2 with require you to do a detail specsheet lookup before plugging in?
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Microsoft's HoloLens Event in 13 Minutes at MWC 2019 [video](youtube.com)
2 points by theblackcat1002 8y ago|0 comments
37.
by theblackcat1002 8y ago
I use Linode to host all my side project. It's similar to Digital Ocean offerings and so far work pretty fine.
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by theblackcat1002 8y ago
I wonder how do you choose which news or story to deliver to users? From your recent link[1] it seems like the news is bit on the short side. 1. http://getthecrypt.com/recent/
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by theblackcat1002 8y ago
My model is based on these papers [1,2,3]. I found that adding the paper meta info such as table count, page count improves my model performance ( R^2 score of future citation of 2 years later ). For now, I am working on better filtering me
40.
by theblackcat1002 8y ago
1) It predicts the citation count 2 years later using a mix of features from the articles, author and venue it was published. 2) I guess H-Index and previous citation count stats (mean, max, min). But I find the most influential factors are
41.
by theblackcat1002 8y ago
I written a service recently which predict articles future citation from arXiv, IEEE as rank which would save time from avoiding reading all the articles. It's still a work in progress, especially the keyword filtering part. link: htt