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1.) Enhancing User Experience:
In today's digital world, online communication is widespread, and public platforms like social media, forums, and comment sections allow users to freely express their o…
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There are a number of online learning / partially online learning algorithms that are currently not covered. Some of them like biologically inspired ones (#87) are already covered in other issues. But…
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# Learning C++ Programming Online in 2023 | hacking C++
Web resources (articles, videos, cheat sheets, e-books) for learning C++ programming, algorithms and development tools like versioning systems,…
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# The correct way to evaluate online machine learning models - Max Halford
Motivation Most supervised machine learning algorithms work in the batch setting, whereby they are fitted on a training set …
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We need people browsing the web to discover interesting datasets than could be added to the moabb.
You can comment on this issue.
But first, check your dataset is not already in [the list](https…
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Since `SymbolicRegressor` is an iterative process, akin to online learning algorithms (neural nets, etc), it would be useful to have callbacks that could be called at different stages. For example, a …
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Please:
- [x] Check for duplicate requests.
- [x] Describe your goal, and if possible provide a code snippet with a motivating example.
Implementation of the online learning algorithms for spik…
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## PTZ Tracking ideas page on initial thoughts and possible approach
[Online-Visual-Tracking-SOTA](https://github.com/wangdongdut/Online-Visual-Tracking-SOTA)
## OpenTLD (Predator)
### Origin…
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FedLGT (Language-Guided Transformer for Federated Multi-Label Classification)
Paper: I-Jieh Liu et al., AAAI 2024
Intuition:
FedLGT is designed to handle multi-label image classification in feder…
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Integrating OnlineStats (its online learning algorithms) and giving it an easy to use hyperparameter tuning context makes Julia even more useful for quick ML on real big data.