In this project we have tried to implement every algorithm that is mentioned and described in the "Cluster Cores and Modularity Maximization" research paper written by Michael Ovelgonne and Andreas ...

Abstract: The randomized algorithm of G. Calafiore and B. Polyak (2000), which consists of random sampling and sub-gradient descent, is analyzed in the case where it is used to solve ...

Abstract: The alignment of reads generated by next-generation sequencers is an important problem in many biomedical applications. Although many methods have been proposed, we introduce a new ...

Least-squares fitting has permeated the sciences and engineering after its introduction over two centuries ago (see, for example, ref. 1 for a brief historical review). Linear least-squares regression ...

In statistics and machine learning, logistic regression is a widely-used supervised learning technique primarily employed for binary classification tasks. When the number of observations greatly ...

This paper proposes a method for determining the stabilizing parameter regions for general delay control systems based on randomized sampling. A delay control system is converted into a unified ...