NeTaGFT is written with R and uses RSpectra library for eigenvalues and vectors calculation. The ape, phytools, phangorn, phylosignal, phylobase, phylolm, and RPAND library are used for simulation ...

Despite decades of research proving their value at work, emotions remain one of the most undervalued—and misunderstood—resources available to leaders. Too many leaders still believe that emotions ...

“Hello people from the future!” That’s how Sujan Dutta starts all his YouTube videos before he unpacks the complexities of artificial intelligence (AI). The RIT computing and information sciences Ph.D ...

The start of another fall semester approaches and wary eyes once again turn to course policies about the use of generative AI. For a lot of faculty members, the last two years have been marked by ...

Abstract: General spectral Clustering(SC) algorithms employ top eigenvectors of normalized Laplacian for spectral rounding. However, recent research has pointed out that in case of noisy and sparse ...

Transforming a dataset into one with fewer columns is more complicated than it might seem, explains Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step machine learning tutorial.

Principal component analysis (PCA) is a classical machine learning technique. The goal of PCA is to transform a dataset into one with fewer columns. This is called dimensionality reduction. The ...

In the midst of widespread layoffs that rode in fast on the heels of the Great Resignation, many companies are still struggling to retain employees and reduce overall organizational turnover. The ...