Abstract: In our daily lives, emotions are extremely important. However, predicting and regulating emotion is still a critical problem to be solved in the research of the human-computer interaction ...

Abstract: We propose a Markov Chain Monte Carlo (MCMC) algorithm based on Gibbs sampling with parallel tempering to solve nonlinear optimal control problems. The algorithm is applicable to nonlinear ...

Objective: Hidden Markov models (HMMs) provide interpretable, lower-dimensional temporal representations of data, allowing for missingness. This study aimed to investigate the HMM as a method for ...

A crabcake that’s seasoned perfectly and filled with fresh lump crab meat is worth the wait. Ignore those artificial, imitation crab sticks made of mystery fish. When you’re looking to treat yourself, ...