Machine learning, particularly the training of large foundation models, relies heavily on the diversity and quality of data. These models, pre-trained on vast datasets, are the foundation of many ...

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 ...

Distance related functions (Damerau-Levenshtein, Jaro-Winkler , longest common substring & subsequence) implemented as SQLite run-time loadable extension. Any UTF-8 strings are supported.

These days genomic sequence analysis provides a key way of understanding the biology of an organism. However, since these sequences contain much private information, it can be very dangerous to reveal ...

Abstract: In this paper, we demonstrate the ability of spatial architectures to significantly improve both runtime performance and energy efficiency on edit distance, a broadly used dynamic ...

Abstract: The problem of finding the edit distance between two sequences (and its closely related problem of longest common subsequence) are important problems with applications in many domains like ...