Dealing with categorical data is an essential part of data preprocessing in many machine learning tasks. Fortunately, encoding categorical data efficiently helps enhance the performance of machine ...

Limitations for using polymorphic characters in phylogenetic analysis include the lack of computer algorithms that allow input of complex branched or reticulate character state trees and the inability ...

Data annotation, or the process of adding labels to images, text, audio and other forms of sample data, is typically a key step in developing AI systems. The vast majority of systems learn to make ...

Images transmitted over the world wide web are an excellent example of why data compression is important. Suppose we need to download a digitized color photograph over a computer's 33.6 kbps modem. If ...

DNA has been used for years to store data, but encoding information into the molecule is painstaking work. Now, researchers have drastically sped it up by mimicking a natural biological process that ...