Naive Bayes is a family of algorithms based on applying Bayes theorem with a strong(naive) assumption, that every feature is independent of the others, in order to ...

Abstract: This paper proposes a method to develop the multinomial logit (MNL) model for a sequence of choices behavior that incorporates the probability of last choice in the current representative ...

You'll incur some (small) loss of precision using the log version, but also you'll be able to handle much more complex multinomial distributions. This module ...

This repository contains an implementation of a multinomial logistic loss layer that accepts a probability blob of size NxCxHxW and a label blob size of Nx1xHxC. The code is based on the ...

Abstract: Recently developed methods for learning sparse classifiers are among the state-of-the-art in supervised learning. These methods learn classifiers that incorporate weighted sums of basis ...