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Found 5 papers, 0 papers with code
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations
Can the parameters of a hidden Markov model (HMM) be estimated from a single sweep through the observations -- and additionally, without being trapped at a local optimum in the likelihood surface?
A Biologically-Inspired Computational Model of Time Perception
We conclude that the agent is able to perceive time similarly to animals when it comes to their intrinsic mechanisms of interpreting time and performing time-aware actions.
Cooperative System Identification via Correctional Learning
We consider a cooperative system identification scenario in which an expert agent (teacher) knows a correct, or at least a good, model of the system and aims to assist a learner-agent (student), but cannot directly transfer its knowledge to the student.
Inverse Filtering for Hidden Markov Models
This paper considers a number of related inverse filtering problems for hidden Markov models (HMMs).
Evaluation of Spectral Learning for the Identification of Hidden Markov Models
Often, when applied in practice, the parameters of these models have to be estimated.
