GitHub

longest_common_subsequence.py

of the Longest Common Subsequence (L.C.S.).
IEEE

A Fast Parallel Longest Common Subsequence Algorithm Based on Pruning Rules

Abstract: Searching for the longest common subsequence (LCS) of biosequences is one of the most important problems in bioinformatics. A fast algorithm for LCS problem FAST_LCS is presented. The ...
GitHub

5-5_Longest Common Subsequence of Three Sequence (lcs3).py

dp = [[[0 for k in range(len(c)+1)] for j in range(len(b)+1)] for i in range(len(a)+1)] for i in range(1,len(a)+1): for j in range(1,len(b)+1): for k in range(1,len(c ...
Nature

What is the expectation maximization algorithm?

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
Nature

Learning algorithms articles from across Nature Portfolio

A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference between ...
Harvard Business Review

Competing in the Age of AI

How machine intelligence changes the rules of business by Marco Iansiti and Karim R. Lakhani In 2019, just five years after the Ant Financial Services Group was launched, the number of consumers using ...
IEEE

A Comprehensive Survey of Path Planning Algorithms for Autonomous Systems and Mobile Robots: Traditional and Modern Approaches

Abstract: Path planning is a crucial component for robotics and autonomous systems, which facilitate navigation through dynamic and uncertain environments while avoiding obstacles. This review paper ...