DISCRIMINATIVE MACHINE LEARNING SYSTEM FOR OPTIMIZATION OF MULTIPLE OBJECTIVES

Input data is received. The received input data is provided to a trained discriminative machine learning model to determine an inference result. At least a portion of the received input data is used to determine a utility measure. A version of the determined inference result and the utility measure...

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Bibliographic Details
Main Authors MARQUÊS, Telmo, Luís Eleutério, FERREIRA, Jaime Rodrigues, BIZARRO, Pedro, Gustavo Santos Rodrigues, ASCENSÃO, João, Tiago Barriga Negra, DUARTE, Carolina, Almeida, FERREIRA, João, Guilherme Simões Bravo, CAETANO, João, Pedro Valdeira, ABREU, Pedro, Caldeira
Format Patent
LanguageEnglish
French
German
Published 15.11.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRIC DIGITAL DATA PROCESSING
ELECTRICITY
PHYSICS
PICTORIAL COMMUNICATION, e.g. TELEVISION
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Summary:Input data is received. The received input data is provided to a trained discriminative machine learning model to determine an inference result. At least a portion of the received input data is used to determine a utility measure. A version of the determined inference result and the utility measure are used as inputs to a decision module optimizing one or more decision metrics to determine a decision result.
Bibliography:Application Number: EP20210870057