Studying the epic journey of the iconic jumping plumber can lead to new insights in theoretical computer science—and may help ...

Abstract: Many pattern recognition problems involve characterizing samples with continuous labels instead of discrete categories. While regression models are suitable for these learning tasks, these ...

Machine learning with neural networks is sometimes said to be part art and part science. Dr. James McCaffrey of Microsoft Research teaches both with a full-code, step-by-step tutorial. A binary ...

A full-code demo from Dr. James McCaffrey of Microsoft Research shows how to predict the type of a college course by analyzing grade counts for each type of course. General naive Bayes classification ...

Abstract: In recent years, the analysis of human interaction data has led to the rapid development of graph embedding methods. Topological information is typically interpreted into embedded vectors or ...

Naive Bayes classifiers (NBC) have dominated the field of taxonomic classification of amplicon sequences for over a decade. Apart from having runtime requirements that allow them to be trained and ...