TRAINING A MACHINE LEARNING MODEL TO IDENTIFY A RELATIONSHIP BETWEEN DATA ITEMS

TRAINING A MACHINE LEARNING MODEL TO IDENTIFY A RELATIONSHIP BETWEEN DATA ITEMS

There is provided a computer-implemented method for processing data items for use in training a machine learning model to identify a relationship between the data items. The data items correspond to one or more features of a telecommunications network. For each feature of the one or more features, t...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: NIE, Yimin, LI, Xiaoming
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:There is provided a computer-implemented method for processing data items for use in training a machine learning model to identify a relationship between the data items. The data items correspond to one or more features of a telecommunications network. For each feature of the one or more features, the corresponding data items are organised (102) into a sequence according to time to obtain at least one sequence of data items. A single sequence of data items comprising the at least one sequence of data items is encoded (104) to obtain an encoded sequence of data items. The single sequence of data items is encoded with information indicative of a position of data items in the single sequence of data items. The encoded sequence of data items is for use in training the machine learning model to identify the relationship between the data items.