1 citations · 1 across the 3 of their papers we have counts for
3 papers
Parameter estimation of hidden Markov models: comparison of EM and quasi-Newton methods with a new hybrid algorithm
Sidonie Foulon, Thérèse Truong, Anne-Louise Leutenegger +1
Hidden Markov Models (HMM) model a sequence of observations that are dependent on a hidden (or latent) state that follow a Markov chain. These models are widely used in diverse fie…
Dynamic computations inside the algebraic closure of a valued field
Franz-Viktor Kuhlmann, Henri Lombardi, Hervé Perdry
We explain how to compute in the algebraic closure of a valued field. These computations heavily rely on the \NPAz. They are made in the same spirit as the dynamic algebraic closur…
Space Alternating Penalized Kullback Proximal Point Algorithms for Maximizing Likelihood with Nondifferentiable Penalty
Stéphane Chrétien, Alfred Hero, Hervé Perdry
The EM algorithm is a widely used methodology for penalized likelihood estimation. Provable monotonicity and convergence are the hallmarks of the EM algorithm and these properties…