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4 votes

Taking into account a non-symmetric loss function in a classification problem

I would recommend separating the modeling and the decision aspect: model probabilistically, assess these probabilistic classifications using proper scoring rules, and use thresholds when turning these ...
Stephan Kolassa's user avatar
4 votes

Estimating Smooth Density Field from Limited Sampled Data

I think a model rendering $P(y|x,m)$ can be achieved with a simple classification net. The net takes in the features $x$ and $m$, and outputs a probability that the sample belongs to $y=1$. The loss ...
MuhammedYunus's user avatar

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