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An area of PBSHM which has recently been recognised for potential development is the use of multi-task learning (MTL). This repository contains code to recreate similar results to the datasets used in the paper: “Improving Feature Selection within Structural Datasets using Multi-Task Learning”.

Sarah-Bee/MTL_Feature_Selection

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MTL_Feature_Selection

An area of PBSHM which has recently been recognised for potential development is the use of multi-task learning (MTL). This repository contains code to recreate similar results to the datasets used in the paper: “Improving Feature Selection within Structural Datasets using Multi-Task Learning”.

In order to run the code a dataset is required. The ``Gaussian'' dataset can be selected in the datasetLoading file to run a dummy version of the code.

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An area of PBSHM which has recently been recognised for potential development is the use of multi-task learning (MTL). This repository contains code to recreate similar results to the datasets used in the paper: “Improving Feature Selection within Structural Datasets using Multi-Task Learning”.

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