US Patent Application 17659129. PERFORMANCE INDICATORS FOR COMBINATIONS OF MACHINE LEARNING MODELS simplified abstract
Contents
PERFORMANCE INDICATORS FOR COMBINATIONS OF MACHINE LEARNING MODELS
Organization Name
Inventor(s)
Xipeng Zhu of San Diego CA (US)
Gavin Bernard Horn of La Jolla CA (US)
Taesang Yoo of San Diego CA (US)
Rajeev Kumar of San Diego CA (US)
Shankar Krishnan of San Diego CA (US)
Aziz Gholmieh of Del Mar CA (US)
PERFORMANCE INDICATORS FOR COMBINATIONS OF MACHINE LEARNING MODELS - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 17659129 Titled 'PERFORMANCE INDICATORS FOR COMBINATIONS OF MACHINE LEARNING MODELS'
Simplified Explanation
The abstract describes a wireless communication system where a user device can transmit information about its capability to support different combinations of machine learning models. This information includes performance parameters of the machine learning models. Based on this information, the user device can receive instructions to use specific machine learning models.
Original Abstract Submitted
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit capability information that indicates support for one or more model combinations of machine learning (ML) models, wherein the capability information further indicates one or more performance parameters of an ML model of the ML models with respect to a model combination of the one or more model combinations that includes the ML model. The UE may receive one or more indications to use one or more of the ML models based at least in part on the capability information. Numerous other aspects are described.
