Abstract: This paper investigates the adaptive optimal output regulation of completely unknown linear ... Then, an online-verifiable initial excitation-based dual-integrator-based learning algorithm ...

Decision Trees are non-parameterized supervised algorithms used for classification and regression ... and leaves representing the output values. The tree's hierarchical structure allows sequential ...

Abstract: DNA data storage is a cutting-edge storage technique due to its high density, replicability, and long-term capability. It involves encoding, insertion, deletion, and substitution (IDS) ...

Implementations are for learning purposes only. They may be less efficient than the implementations in the Python standard library. Use them at your discretion.