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Hidden Abstract Stack Markov Models with Learning Process

We present hidden abstract stack Markov models (HASMMs) with their learning process. The HASMMs we offer carry the more expressive nature of probabilistic context-free grammars (PCFGs) while allowing faster parameter fitting of hidden Markov models (HMMs). Both HMMs and PCFGs are widely utilized str...

Ausführliche Beschreibung

Gespeichert in:
1. Verfasser: Mete Özbaltan
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2024-07-01
Schriftenreihe:Mathematics
Schlagworte:
hidden Markov model
probabilistic context-free grammar
stack
counter
learning
Online-Zugang:https://www.mdpi.com/2227-7390/12/13/2144
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