Texans defense vs. Raiders (4:25 p.m. ET, CBS): Houston's defense is an absolute must start this week in a home matchup against the Raiders. Over the last eight weeks, their offense has averaged a ...

A new technical paper titled “Electron Microscopy-based Automatic Defect Inspection for Semiconductor Manufacturing: A Systematic Review” was published by researchers at KU Leuven and imec. “In this ...

An illustration of a magnifying glass. An illustration of a magnifying glass.

Abstract: Expectation-Maximization (EM) algorithm is a widely used iterative algorithm for computing (local) maximum likelihood estimate (MLE). It can be used in an extensive range of problems, ...

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: As the amount of data increases, the data can obey either a single distribution, two distributions or even multiple distributions. If the distribution parameters and mixing ratio can be ...

ABSTRACT: The EM algorithm is a very popular maximum likelihood estimation method, the iterative algorithm for solving the maximum likelihood estimator when the observation data is the incomplete data ...

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian ...

ABSTRACT: In this paper we consider sequences of observations that irregularly space at infrequent time in-tervals. We will discuss about one of the most important issues of stochastic processes, ...