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Regression (_e.g._ linear regression, logistic regression, poisson regression, etc) is a very important in machine learning. Many problems can be formulated in the form of (regularized) regression.
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**Submitting author:** @https://github.com/josemanuel22 (José Manuel de Frutos)
**Repository:** https://github.com/josemanuel22/ISL
**Branch with paper.md** (empty if default branch):
**Version:** v0…
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## Keyword: sgd
### Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability
- **Authors:** Authors: Haoyi Xiong, Xuhong Li, Boyang Yu, Zhanxing Zhu, Dongrui Wu, Dejin…
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This has been discussed repeatedly, but it's important to get right if we want widespread adoption. Some references:
https://github.com/Evizero/MLModels.jl/issues/12
https://github.com/Evizero/MLMod…
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no reference code yet.
but can use classical recommendation algos to generate such as collaborative filtering, matrix factorization ...
- [x] SVD.
- [ ] PMF
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1. Kolmogorov Continuity Theorem:
This theorem provides sufficient conditions for a stochastic process to have continuous sample paths.
Theorem: Let {X(t), t ∈ T} be a stochastic process on a prob…
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微博内容精选
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There are Bayesian Linear Regression and ARD regression in scikit, are there any plans to include Bayesian / ARD Logistic Regression? ARD version will be really helpful for identifying relevant featu…
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[log.txt](https://github.com/user-attachments/files/17262858/log.txt)
When trying to flash my samsung phone with the right loaders according to https://www.temblast.com/ref/loaders.htm I tried both l…