Temporal decision trees or the lazy ECU vindicated

Luca Console, Claudia Picardi, Daniele Theseider Dupré

Research output: Contribution to journalConference articlepeer-review

Abstract

The automatic generation of diagnostic decision trees from qualitative models is a reasonable compromise between the advantages of using a model-based approach in technical domains and the constraints imposed by on-board applications. In this paper we extend the approach to deal with temporal information. We introduce a notion of temporal diagnostic decision tree, in which nodes have a temporal label providing temporal constraints on the observations, and we present an algorithm for compiling such trees from a model-based diagnostic system.

Original languageEnglish
Pages (from-to)545-550
Number of pages6
JournalIJCAI International Joint Conference on Artificial Intelligence
Publication statusPublished - 2001
Event17th International Joint Conference on Artificial Intelligence, IJCAI 2001 - Seattle, WA, United States
Duration: 4 Aug 200110 Aug 2001

Fingerprint

Dive into the research topics of 'Temporal decision trees or the lazy ECU vindicated'. Together they form a unique fingerprint.

Cite this