Joint prediction of continuous and discrete states in time-series based on belief functions

IEEE Transactions on Cybernetics

Volumn 43, Issue 1, 2013, Pages 37-50

  Ramasso, Emmanuel ^a   Rombaut, Michèle ^b   Zerhouni, Noureddine ^a  

^a UNIVERSITÉ DE TECHNOLOGIE DE BELFORT MONTBÉLIARD   (France)

^b GIPSA LAB   (France)

Author keywords

Belief functions; Partially supervised learning; Pattern analysis; Prognostic; Similarity based reasoning

Indexed keywords

BELIEF FUNCTION; PARTIALLY-SUPERVISED LEARNING; PATTERN ANALYSIS; PROGNOSTIC; SIMILARITY-BASED REASONING;

FORECASTING; INDUSTRIAL APPLICATIONS; LEARNING ALGORITHMS; PATTERN RECOGNITION;

UNCERTAINTY ANALYSIS;

EID: 84885852883     PISSN: 21682267     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2012.2198882     Document Type: Article

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