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Post questions here about:
Witten, Ian H., Eibe Frank, Mark A. Hall, Christopher J. Pal. 2017. [“Ensemble Learning”](https://github.com/Computational-Content-Analysis-2020/Readings-Responses/files/…
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# Short Question Description
Is auto-sklearn ensemble for classification using predict_proba + threshold adaptions?
I read the original paper and read about the unique way auto-sklearn makes use o…
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The paper [Decision Theory for Discrimination-Aware Classification](https://ieeexplore.ieee.org/document/6413831) by Kamiran, Karim and Zhang presents two solutions for discrimination-aware classifica…
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1. [Binary Relevance Efficacy for Multilabel Classification](https://link.springer.com/article/10.1007/s13748-012-0030-x) > https://github.com/Gin04gh/datascience/issues/6#issuecomment-419388287
1. […
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#### Description
I notice that [VotingClassifier](http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html#sklearn.ensemble.VotingClassifier
) with voting='soft' take…
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Hi,
This .ipynb file is only for generate the figure in your paper. I wonder if there is a general version, which could be used for other dataset? As you mentioned in the paper the general applica…
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Hi
I am a research assistant and I have been working on deep bayesian active learning for the past few weeks. I have been using pytorch and custom active learning classes so far, and i just found o…
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Tuplets symbols recognition is mandatory because it impacts measure correctness
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https://www.kaggle.com/c/landmark-retrieval-challenge
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Post a reading of your own that uses deep learning for social science analysis and understanding, with a focus on network, graph, or tabular data.