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Kinetic discriminatory metric learning: http://pubs.acs.org/doi/abs/10.1021/ct400132h
Questions:
- Can any aspects of the learned distance metric generalize across protein examples?
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Hi,
I am slowly learning chemplot. Is it possible to compare the tsne generated from chemplot with tanimoto distance based tsne and use your interactive visualization? Please guide.
thanks,
Jes…
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I am currently training a model with semi-supervised learning and I have two separate losses and miner as well. All of them use the same distance matrix, so when I run the training distance matrix is …
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I was learning about the HDBSCAN package, and encountered another package "hdbscan-with-cosine-distance'.
What's the relationship between the two? Can someone give usage examples to illustrate the …
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- 논문에서 얻은 인사이트 정리
- 코드로 구현하는 방법 정리
- 우리꺼에 어떻게 적용할 수 있을지..? 생각하기
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Using up-to-date technology for my personal journey into the blockchain world, cryptocurrencies, and new ways of distance learning.
#maxchain
#mXchain
#in/out.IO
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Hi, I wonder if you also tried the distance weighted margin loss specified in Sampling Matters in Deep Embedding Learning.
I see you have the sampling scheme applied to deviance loss. I wonder why?
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Hello,
Could you consider removing the requirement for the 2nd year units? For example I'm doing a 3rd year only distance learning top up. However cannot use the calculator.
Thanks!
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hi, thank your for the nice work first.
i have some problems in the code that confuses me. To compute the cosine distance, the implementation is the following
x_norm = torch.norm(x, p=2, d…
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Could we use machine learning to automatically generate heuristics for clustering? We have a "gold standard" now with full partis, and the goal of more approximate clustering should be to replicate th…