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Global PAC Bounds for Learning Discrete Time Markov Chains
Learning models from observations of a system is a powerful tool with many applications. In this paper, we consider learning Discrete Time Markov Chains (DTMC), with different methods such as frequency estimation or Laplace smoothing. While models learnt with such methods converge asymptotically tow...
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| Publicado no: | Computer Aided Verification |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7363184/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-53291-8_17 |
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