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Issue -- deciding which type of method to use for this problem. Mostly using this comment thread to keep track of my progress.
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Could we use machine learning to automatically generate heuristics for clustering? We have a "gold standard" now with full partis, and the goal of more approximate clustering should be to replicate th…
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i ran your code on my PC using PaviaU dataset.
In detail, i trained AE for 1 epoch with 80% of the pixels as in your paper,
and then trained Siamese network for 1 epoch with 10 samples per class al…
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Based on the model_summary results.
Is the model a neural network with one hidden layer with **no activation function** ("embeddings" layer) and one output layer with a softmax activation function…
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Implementar uma função de agregação utilizando Regressão Logística para descobrir a avaliação geral a partir dos critérios de avaliação.
https://blog.trifork.com/2014/02/04/an-introduction-to-mahouts…
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Hello there!
I hope all is well during these difficult times! I was playing with the great `quanteda` and discovered the nice `textmodel_svm` classification model. However, contrary to `textmodel_n…
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Hi,
I am using your toolbox for classification of two-class MI BCI. However, it gives me this warning, "Warning : Nombre d'it�rations maximum atteint" when I run MDM, Discriminant Geodesic + MDM a…
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- [x] Evaluate models from 3,5, and 6 using the test set. (5 models)
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Thanks for developing such a library. When trying to use it, I found that when I change the values of "d" and "n" in the file "demo.m", there will be some errors in the convergence results. For instan…