Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...

Abstract: Numerical optimization serves as one of the pillars of machine learning. To meet the demands of big data applications, lots of efforts have been put on designing theoretically and ...

Abstract: This paper focuses on a distributed nonsmooth composite optimization problem over a multiagent networked system, in which each agent is equipped with a local Lipschitz-differentiable ...

This is a low-level implementation of the Largest-Triangle-Three-Buckets (LTTB) downsampling algorithm written in Python. The code has been translated from the work ...

The Simulated Bifurcation (SB) algorithm is a fast and highly parallelizable state-of-the-art algorithm for quadratic combinatorial optimization inspired by quantum physics and spins dynamics. It ...

Thiruvananthapuram: The prolonged standoff between the Kerala government and the Governor over vice chancellor appointments ended on Tuesday with Dr Ciza Thomas being named vice chancellor of the ...