Deep Forest · HackerPapers discussions

Deep Forest — mentioned by thesz

Mon, 02 Mar 2026 22:45:35 GMT

> So NNs too really (damn autocorrect, it's rely, rely) on human insight and structuring upon which they can then build over. If so, one can repeat it with other basic models as well. It is possible to train deep decision trees forests [1]. Then I believe that it is possible to train deep convolutional decision trees forests. [1] https://arxiv.org/pdf/1702.08835

Paper and discussion history. A mention is not an endorsement.

Deep Forest — mentioned by stochastic_monk

Sun, 29 Oct 2017 16:59:34 GMT

Very interesting; I've ignored random forests more than I should. Thank you! I won't comment on your methods except to say that comparing classification over linear PCA against a kernel PCA in linearly unseparable data isn't exactly fair, and I think that providing an SVM performed on a different kernel PCA decomposition or a kernel SVM itself would be more illustrative. (Is your code available?) I generally think of neural networks as enormous meta-kernels. (Composites of <composites of...> kernels) This generally leads me to think of ways that kernels can be turned into neural network…

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Deep Forest — mentioned by Seanny123

Sat, 25 Mar 2017 10:45:08 GMT

Deep PCA: https://arxiv.org/abs/1404.3606 Deep Forest: https://arxiv.org/abs/1702.08835

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Deep Forest — HN submission

Thu, 02 Mar 2017 10:47:13 GMT

Deep Forest: Towards an Alternative to Deep Neural Networks

350 points; 92 discussion replies on HN. Paper and source history. A submission is not an endorsement.