The Feb. 17, 2025 edition of The Property Chronicle features an article by Norm Miller, PhD, Ernest W. Hahn Chair of Real Estate Finance, Emeritus, titled Algorithms, Dynamic Pricing and Resi Rents.

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

ABSTRACT: This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic ...

Abstract: The edit distance (also known as Levenshtein distance) of two strings is the minimum number of insertions, deletions, and substitutions of characters needed to transform one string into the ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

Script for calculating the edit distance between two strings. We compare two approaches in terms of computational time: linear storage and quadratic storage. Python scripts used to calculate 3 basic ...

This repo contains different university projects made by me, Alessio Mana and Fabrizio Sanino for our Algorithm and Data Structure Exam done in Turin in June 2021.

Abstract: The edit distance is a way of quantifying how similar two strings are to one another by counting the minimum number of character insertions, deletions, and substitutions required to ...