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 propose using the autoregressive hidden Markov model (HMM) for speech synthesis. The autoregressive HMM uses the same model for parameter estimation and synthesis in a consistent way, in ...

Human-derived organoids improved heart function in pigs with ischemic heart disease, laying the groundwork for their therapeutic potential in humans.

An additional section surveys related model classes -- hidden Markov models, Markov games, constrained MDPs, semi-Markov decision processes, and model-free reinforcement learning -- that lie beyond ...