Abstract: The marginal maximum entropy criterion has been used to guide recursive partitioning of a continuous sample space. Although the criterion has been successfully applied in pattern discovery ...

Probability density function (PDF) estimation is a constantly important topic in the fields related to artificial intelligence and machine learning. This paper is dedicated to considering problems on ...

The problem of marginal density estimation for a multivariate density function f(x) can be generally stated as a problem of density function estimation for a random vector λ(x) of dimension lower than ...

Abstract: In this paper, we design and analyze distributed Bayesian estimation algorithms for sensor networks. We consider estimation problems, such as cooperative localization and federated learning, ...

(i) check that it is a joint density function or not? (Use integral2()) (ii) find marginal distribution g(x) at x = 1. (iii) find the marginal distribution h(y) at y = 0. (iv) find the expected value ...

(i) check that it is a joint density function or not? (Use integral2()) (ii) find marginal distribution g(x) at x = 1. (iii) find the marginal distribution h(y) at y = 0. (iv) find the expected value ...

Andrew Bloomenthal has 20+ years of editorial experience as a financial journalist and as a financial services marketing writer. Erika Rasure is globally-recognized as a leading consumer economics ...

Independent component analysis (ICA) is an effective data-driven method for blind source separation. It has been successfully applied to separate source signals of interest from their mixtures. Most ...