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## Rationale
In Manifold's experimental learning applications at the University of Washington, several students reported that they found the highlights hard to see. People experience color in very di…
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I am just learning SAGE,...I plan to use for my current Master Thesis and the future...SAGE Manifolds and the jupyter notebook for Kerr metric produces both in my computer and online the following err…
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Thee matrix 'D' from the Wendland chapter is of shape '\# x Q', where '\#' is the number of points within suitable radius of the input value and 'Q' is, for our purposes, equal to 'm+1', where 'm' is …
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用 mixup 增强 group fairness metrics 的泛化性，通过两个 sensitive group 样例的渐近插值，搭建一个逐步的变换过程来连接彼此（图示很明白），帮助模型学习的更公平。以往的方法都依赖于数据，本文方法与数据无关，可跨模态、跨数据等等。搞了点理论证明，在表格、视觉和文本的 fairness 数据集上实验了，有效果。
总的来说，就是在二分类上用了mixup，…
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**Objective**
Develop an efficient method to compute the statistics s(c) for a given non-linear n-dimensional function f(x, y) with dependent variables x and y, such that F(f(s(x), s(y))) = s(c) whil…
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This is a staging place for stuff to add to the Reconstrue Handbook, for how to use these tools.
- [Evaluation of UMAP as an alternative to t-SNE for single-cell data
(2018)](https://www.biorxiv.o…
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What is the correct way of creating euclidean embedding with the code? There have been a few questions on this but didnt find an answer, and I would like to make a comparison in my upcoming paper. For…
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Excuse me, can you provide the title of the paper corresponding to this code? Thank you very much
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Hello, I applied for all the HCP (Human Connectome Project) young adult data and used the 17-network ROI (regions of interest) to extract features from the fMRI data. I also hope to use your model to …
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Hi,
I am actually using `umap`, but i know it is using `pynndescent` under the hood. When I am running umap with > 10k rows, I get following errors:
```
numpy.core._exceptions.UFuncTypeError: u…