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A Learning Algorithm for Episodes

Tom Obry 1 Audine Subias 1 Louise Travé-Massuyès 1
1 LAAS-DISCO - Équipe DIagnostic, Supervision et COnduite
LAAS - Laboratoire d'analyse et d'architecture des systèmes
Abstract : Sequences of events describing the behavior and actions of agents or systems can be collected in several domains. An episode is a collection of events that occur in a given partial order. By performing a recognition of recurrent episodes in several sequences and comparing them, it is possible to determine a pattern common to all the sequences. In this paper, we propose an approach to recognize episodes that are common in a set of event sequences. The method described is applied to the automotive domain for learning diagnosis procedures.
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Submitted on : Monday, July 23, 2018 - 4:08:06 PM
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  • HAL Id : hal-01847561, version 1


Tom Obry, Audine Subias, Louise Travé-Massuyès. A Learning Algorithm for Episodes. 28th International Workshop on Principles of Diagnosis (DX 2017), Sep 2017, Brescia, Italy. 5p. ⟨hal-01847561⟩



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