AUTOMATIC FEATURE SELECTION IN MACHINE LEARNING

AUTOMATIC FEATURE SELECTION IN MACHINE LEARNING

Provided is a learning module to extract rules from training data and a feature selection module to determine features of the training data to be used for extracting the rules. The feature selection module is to receive context data of the rules to be extracted and domain information on the training...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: BAZANOV, Peter Valeryevich, THIYAGARAJAH, Janakiraman, LV, Peng, DE MATTEIS, Luca
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Beschreibung
Zusammenfassung:Provided is a learning module to extract rules from training data and a feature selection module to determine features of the training data to be used for extracting the rules. The feature selection module is to receive context data of the rules to be extracted and domain information on the training data, the context data to specify an area of analysis in which the extracted rules are to be used, and the domain information indicating one or more technical environments to which the training data pertains.