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 ...

This repository contains a Jupyter notebook implementing the Multinomial Naive Bayes algorithm from scratch for an email classification task of SPAM or HAM. The notebook also includes a comparison of ...

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 ...

Bivariate multinomial data such as the left and right eyes retinopathy status data are analyzed either by using a joint bivariate probability model or by exploiting certain odds ratio-based ...

torch.multinomial only works on single and double dimension tensors, without giving ability for choosing probability dimension. Thus, multinomial is not directly usable on rnn output tensor, which has ...

Sample size determination is an important component of study design and can frequently be addressed using the multinomial probability model. The sample size determination procedures of Tortora and ...

This is a preview. Log in through your library . Abstract Given a $k$-fold multinomial distribution with equal probability for each category, the probability of the ...

In cases of food poisoning, it is important for food sanitation inspectors to determine the causative pathogen as early as possible and take necessary measures to minimize outbreaks. Interviews are ...