Our experts from Newline Australia Insurance and Omnisure examine how AI is redrawing the risk landscape for professionals, ...

Abstract: In this paper, an finite-difference time-domain (FDTD) algorithm for simulating propagation of EM waves in anisotropic material is presented. The algorithm is based on the auxiliary ...

This is a paper dealing with truncation and censored data in the insurance agency. We go over Maximum Likelihood Estimation and the EM Algorithm for censored exponential data.

Abstract: This letter studies a new expectation maximization (EM) algorithm to solve the problem of circle, sphere and more generally hypersphere fitting. This algorithm relies on the introduction of ...

Codes for simulation studies to examine the performance of the EM algorithm and its modifications Classification EM and Stochastic EM for Gaussian mixture and a mixture of Markov chains.

A health care algorithm makes black patients substantially less likely than their white counterparts to receive important medical treatment. The major flaw affects millions of patients, and was just ...

Crowdsourcing is a popular paradigm for effectively collecting labels at low cost. The Dawid-Skene estimator has been widely used for inferring the true labels from the noisy labels provided by ...

You are given a number of toy datasets [here]. Each dataset contains data forming a number of clusters and your mission is to find these clusters using your designed algorithms. The visulized groud ...