This paper proposes a hidden state Markov model (HMM) that incorporates workers’ unobserved labor market attachment into the analysis of labor market dynamics. Unlike previous literature, which ...

A new system that improves on the detection of pronunciation errors among non-native speakers could improve English language ...

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 ...

Working principle of the asynchronous optical recurrent architecture. GA, UNITED STATES, May 7, 2025 /EINPresswire / -- Scientists from Chi ...