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Hello,
Please could you let me know how you calculated the F1-Score for UCR?
The reason I am asking is that you determine accuracy based on if an anomaly is found within the range.
How do you…
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TODO: TE is implemented according [http://helios.mm.di.uoa.gr/~rouvas/ssi/sigkdd/sigkdd.vol3.1/barreca.pdf|http://helios.mm.di.uoa.gr/~rouvas/ssi/sigkdd/sigkdd.vol3.1/barreca.pdf]
check whether TE h2…
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Original article:
S. Kumar, X. Zhang and J. Leskovec. Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks. In: Proceedings of the 25th ACM SIGKDD international conference on Know…
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paper: http://staff.ustc.edu.cn/~huangzhy/files/papers/ShuanghongShen-KDD2021.pdf
slide: http://staff.ustc.edu.cn/~huangzhy/files/slides/ShuanghongShen-KDD2021-slide.pdf
implementation: https://gith…
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https://arxiv.org/pdf/1907.10902.pdf
https://github.com/pfnet/optuna/
SIGKDD'19 Applied Data Science Track Papers
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```
———. 2001b. “Statistical Modeling: The Two Cultures (with Comments and a Rejoinder by the Author).”
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```
———. 2016b. “Why Should I Trust You?: Explaining the Predictions of Any Classifier…
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In the original paper about the automated topic labeling (Mei, Q., Shen, X., & Zhai, C. 2007, Automatic labeling of multinomial topic models, in: Proceedings of the 13th ACM SIGKDD International Confe…
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I'd like to reproduce your research result in your paper, but I wonder how you fake the bidding price to simulate the winning and
losing samples, or can you provide the code of your preprocessing?
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Here's a method they use for the xgboost paper https://arxiv.org/abs/1603.02754:
> Since a tree based model is better at handling continuous features, we preprocess the data by calculating the sta…
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I think it would be cool to build an isolation kernel for {maize}. It would fall under specialty kernels, but needs implemented and then provide bindings to parsnip.
I think this would be a multis…