Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Abstract: Network behavior modelling is a central issue for model-based approaches of self-diagnosis of telecommunication networks. There are two methods to build such models. The model can be built ...

Abstract: This paper presents a distributed expectation-maximization (EM) algorithm over sensor networks. In the E-step of this algorithm, each sensor node independently calculates local sufficient ...

The existing expectation maximization (EM) and space-alternating generalized EM (SAGE) algorithms are only applied to direction of arrival (DOA) estimation in known noise. In this paper, the two ...

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The expectation-maximization algorithm maximises the likelihood function for problems involving latent or hidden variables. Latent variables are unobservable random variables that can introduce ...

A composite image of the enzyme lactase showing how cryo-EM’s resolution has improved dramatically in recent years. Older images to the left, more recent to the right. Credit: Veronica ...

NITERÓI, Brazil — When Matheus Dominguez was 16, YouTube recommended a video that changed his life. He was in a band in Niterói, a beach-ringed city in Brazil ...