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Multistep production of $\eta$ and hard $\pi^0$ mesons in subthreshold Au-Au collisions

Abstract : We present an unsupervised approach to cluster sequences. This method is inspired by topology learning methods for hidden Markov models, and is built upon the definition of a distance between Markov models. This type of technique may be used to learn Markovian character models from data or to identify allographs or handwriting styles.
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http://hal.in2p3.fr/in2p3-00005929
Contributor : Peggy Bardon Connect in order to contact the contributor
Submitted on : Tuesday, August 29, 2000 - 4:40:47 PM
Last modification on : Thursday, August 12, 2021 - 2:10:26 PM

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  • HAL Id : in2p3-00005929, version 1

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A.R. Wolf, M. Appenheimer, R. Averbeck, Y. Charbonnier, J. Daz, et al.. Multistep production of $\eta$ and hard $\pi^0$ mesons in subthreshold Au-Au collisions. Physical Review Letters, American Physical Society, 1998, 80, pp.5281-5284. ⟨in2p3-00005929⟩

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