Abstract: Descriptive Complexity has been very successful in characterizing complexity classes of decision problems in terms of the properties definable in some logics. However, descriptive complexity ...

The goal of the project is to examine dependence of bias-variance in different hypothesis classes, such as Decision Trees, K-Nearest Neighbour, Linear Regression, Polynomial Regression, and Kernel ...

This work investigates the relationships between quantum state synthesis complexity classes (a recent concept in computational complexity that focuses on the complexity of preparing quantum states) ...

Understanding time complexity becomes easier when we relate it to familiar situations. Below are common complexity classes explained using simple analogies and real-life comparisons. Finding a friend ...

For decades, computer scientists have compared the fundamental difficulty of solving various tasks, such as factoring a number or finding the most efficient route for a traveling salesperson. Along ...