Abstract: In the paper, we propose a novel RaptorQ-based unsourced random access (URA) scheme that integrates RaptorQ codes and sparse regression codes (SPARCs) to design access schemes tailored for ...

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What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. There were a total of 7 articles, with the extracted data ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

We publish the best academic papers on rule-based techniques, LLMs, & the generation of text that resembles human text. We publish the best academic papers on rule-based techniques, LLMs, & the ...

The purpose of the plot_distribution_linear_regression.html example is to present the distribution of the estimators in linear regression. The first part presents the distribution of the sample ...