Encoding categorical data is a crucial step in data preprocessing. By converting categorical data into a numeric format, machine learning models can interpret and work more effectively.

These are examples of item-level descriptions, illustrating how encoding works with and without the use of CDATA (a feature of XML 1.0). Each example consists of two lines, the first is an example ...

The encoding example for the excited states of N baryons using the encoding mechanism in this article.  With this mechanism, researchers can expect more reliable and precise data, which is ...

Distortions in the cognitive maps of subjects were analyzed to determine significant differences in patterns of distance and direction errors. Patterns of absolute distortion are explained by theories ...

Recovering encoded information The researchers showed that their scheme could recover information intentionally encoded in the shape of a photon. For example, they created photons that had two ...