This study uses a Bayesian framework to characterize latent brain state dynamics associated with memory encoding and performance in children, as measured with functional magnetic resonance imaging.

Abstract: This paper presents a comprehensive study of two statistical approaches to part-of-speech (POS) tagging in Uzbek - the Hidden Markov Model (HMM) and the Conditional Random Field (CRF) - from ...

Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) have been widely developed to solve complex and computationally expensive multiobjective optimization problems (EMOPs) in recent years.