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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…
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## Context
- For simplicity (and to leverage our GPUs) we can compute manually the paragraph embeddings of the articles in our Elasticsearch database.
- But at query time, it makes sense to have our…
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### Desired feature
A preprocessor that removes the mean for each feature, and then scales the total variance of the dataset, rather than the variance of each feature, to 1.
### Proposed Solutio…
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josh [@jhsilverman](https://twitter.com/jhsilverman)
100% human
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I'm trying to use `metric-learn` to learn a mahalanobis-metric approximation for a precomputed distance metric (that's computed in an different way). Is this functionality supported by the library? I …
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**Proceedings**
https://papers.nips.cc/book/advances-in-neural-information-processing-systems-30-2017
https://github.com/catpanda/NIPS_2017
**PaperLists (#Papers 679)**
https://www.dropbox.com/s…
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There are a number of good model implementations in third party repositories, and I think keras-contrib may be the most sensible place for them to go. However, each will need an example and a way to t…
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