Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...

Abstract: This work implements an enhanced hybrid classification method through the utilization of the naïve Bayes classifier and the Support Vector Machine (SVM). In this project, the Bayes formula ...

R package for arbitrary dependency mixed multivariate bayesian models for regression, classification and neighborhood search using joint probabilities and Kernel Density Estimation.

Abstract: The purpose of this publication is to compare the accuracy of a new algorithm based on the Naive Bayesian classifier using the Laplace distribution and named the Laplace Naive Bayes ...

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