Abstract: Most employed Bayesian algorithms, such as quadratic discriminant analysis, linear discriminant analysis or naive Bayes, rely on Gaussian assumptions. In this letter we introduce a novel ...

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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 ...

Currently the examples in the documentation are limited to regression. Adding a simple example for classification on a relatively small dataset (two moons, MNIST, CIFAR10 etc.) would help illustrate ...

The goal of a machine learning regression problem is to predict a single numeric value. There are roughly a dozen different regression techniques such as basic linear regression, k-nearest neighbors ...

Multi-label text classification (MLTC) assigns multiple relevant labels to a text. While deep learning models have achieved state-of-the-art results in this area, they require large amounts of labeled ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

2 St George's University Hospitals NHS Foundation Trust, London, UK Background The 2015 American College of Medical Genetics/Association of Molecular Pathology (ACMG/AMP) variant classification ...

Abstract: A virtual example is an artificial example that does not exist in the given training set. We sample a virtual example from a Bayesian network constructed with the original training set. The ...

The journal retracts the 03 July 2023 article cited above. Following concerns regarding the originality of the article, an investigation was conducted in accordance with Frontiers’ policies. It was ...