Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...
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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 ...
Abstract: Few-shot learning aims to identify novel concepts with limited annotated examples. Recent works have made significant progress on modeling the distribution of novel categories. They ...
In this work, we present a new catalogue of >40 000 ionised nebulae distributed across the 19 galaxies observed by the PHANGS-MUSE survey. The nebulae have been classified using a new model-comparison ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the naive Bayes regression technique, where the goal is to predict a single numeric value. Compared to other ...
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 ...
Comparing composite models for multi-component observational data is a prevalent scientific challenge. When fitting composite models, there exists the potential for systematics from a poor fit of one ...
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