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Figure out how the features of Frankenstein can be mapped on the training texts. Use other descriptive statistics to describe/differentiate PBS and MWS writing styles.
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Hi. Thanks for sharing such wonderful package. I am wondering, whether it is possible to estimate the density ratio between two distribution of very high dimension, like 50 dimension?
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I think it would make sense if we check the subspace of the input event files to see if there's been an energy filter applied to it, and - if so - warn the user. To start the bike-shedding, something …
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Implementing Transform-based Tensor Model in Python:
List
1. Transform-based Tensor Model [1][2]
a) the low-tubal-rank tensor model [2], tSVD when the transform is DFT (Discrete Fourier Trans…
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Notations like `{within A, continuous f}` that specialize a common one (E.G. `continuous f`) don't print correctly. For a full list,
`{within A, continuous f}` prints as `continuous f`
`{ unifo…
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- [ X] New analysis tool: A simple analysis tool you have been using and are missing in `sc.tools`?
It may be useful to adopt a PCA option similar to **`multiBatchPCA`** in the R batchelor pack…
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I suspect that the lack of a specific criterion for choosing the next patch during extension will actually interfere with generality. The more information an encoder has about what the client will do,…
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The options are
- Frequency-response analysis ([implemented in JSControl](https://help.juliahub.com/juliasimcontrol/dev/linear_analysis/#Frequency-response-analysis)), only applicable to stable model…
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# Text Analysis in R
Text analysis is a scientific subspace that is not served well by general tidyverse / datascience tools. It is a focus area of rOpenSci and we have interesting tools and expert…
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- [ ] Define `AffineSubspace.IsOrtho s t` as `s.direction ⟂
t.direction` and develop basic API (mostly copy from
`Submodule.IsOrtho`). Additions specific to affine subspaces
include …