Discrete data is categorical data, rather than continuous measurements. It can be treated as continuous data, but that depends on the measurements set. It allows you to quantify things like pass ...

Many people are tempted to collect continuous data and then convert it to discrete or attribute data. For example, you are collecting delivery time for each order. That would be continuous data.

At each sampling time instant, one observes system output and action to form discrete-time rewards. The sampled input-output data are collected along the trajectory of the dynamical system in real ...

Meta Transfusion is a multi-modal model that can learn both discrete and continuous values to process and ... Current multi-modal models use techniques that reduce the quality of representing data.