We propose an extension of Hidden Markov Model (HMM) to support second-order Markov dependence in the observable random process. We propose a Bayesian method to estimate the parameters of the model ...

We propose a statistical model to assess whether individuals strategically use mixed strategies in repeated games. We formulate a hidden Markov model in which the latent state space contains both pure ...

BioTeam, the famous HPC consulting practice, is using the quad-socket large memory nodes at the Texas Advanced Computing Center to speed alignment and HMM (Hidden Markov Model) inference workflows to ...

Researchers in the Graduate School of Advanced Science and Engineering at Waseda University, Japan, say they have introduced RaptGen, a variational autoencoder (VAE) that can be used for aptamer ...