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## Keyword: metric learning
### Sparse online relative similarity learning
- **Authors:** Dezhong Yao, Peilin Zhao, Chen Yu, Hai Jin, Bin Li
- **Subjects:** Machine Learning (cs.LG); Artificial Inte…
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## About
At [^1][^2], we shared a few notes about time series anomaly detection, and forecasting/prediction. Other than using traditional statistics-based time series forecasting methods like [Holt…
amotl updated
6 months ago
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## Issue will be closed if:
> 1) You mention more than one algorithm. You can create a separate issue for each algorithm once the current one is completed.
> 2) You propose an algorithm that is …
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Copied from Slack Reputation channel May 26:
Anton Kolonin [10:14 PM]
JIC, if you could take all your thought stream on "finding reputation network attractors in heterogeneous social networks"…
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Hey Jacob,
I had a random idea about predicting satellite images... it's probably really silly!
## Background
The idea is slightly inspired by watching [Yannic Kilcher's video about Alpha Fol…
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[GPy has incredible tutorial notebooks](http://nbviewer.jupyter.org/github/SheffieldML/notebook/blob/master/GPy/index.ipynb). They teach basic concepts related to GPs and use GPy as a basis for explai…
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**Is your feature request related to a problem? Please describe.**
- `EnsembleForecaster` does not have`_predict_interval capabilities
**Describe the solution you'd like**
- Add a check that all …
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luckly me
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https://arxiv.org/pdf/1702.08835.pdf
Abstract:
> In this paper, we propose gcForest, a decision tree ensemble approach with performance highly competitive to deep neural networks. In contrast to…