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: We introduce a new class of “maximization-expectation” (ME) algorithms where we maximize over hidden variables but marginalize over random parameters. This reverses the roles of expectation ...

Abstract: The Expectation Maximization algorithm is used to infer (a) the parameters of underlying Gaussian distributions of a data set and (b) the probability distributions for each data point that ...

In recent years, cloud computing has emerged as a widely adopted and cost-effective solution for storing and processing large volumes of data. However, one of the major challenges in secure cloud ...