Abstract: The RLS and RLS-DCD algorithms are commonly used for adaptive filtering applications due to their fast convergence even under correlated inputs. RLS-DCD is a numerically robust and easy to ...

In this repository, you will find my solutions to the pattern-based programming problems recommended by Striver. Each solution is implemented in C++. These problems are carefully selected to cover a ...

Abstract: Frequent itemset mining (FIM) and high-utility itemset mining (HUIM) are two important branches of itemset mining which is a key technology of knowledge discovery in many applications.