METHOD OF INTERACTIVELY IMPROVING AN AI MODEL GENERALIZATION USING AUTOMATED FEATURE SUGGESTION WITH A USER

• Main Authors: Mansour, Riham, Simard, Patrice
• Format: Patent
• Language: English
• Published: 08.12.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

A processor-implemented method includes (i) selecting initial features using a machine learning algorithm with a training data, (ii) automatically generating selected candidate features for an artificial intelligence (AI) model from the initial features, wherein the selected candidate features are generated from the training data or selected from a repository of curated features, (iii) automatically selecting a subset from selected candidate features and augmenting them to obtain suggested features based on an external knowledge source, (iv) presenting the suggested features to a user based on an improvement in the objective function of the AI model caused by addition of the suggested features to the AI model, (v) enabling the user to validate the suggested features, wherein the suggested features are validated by the user to improve a generalization of the AI model, and (vi) adding validated suggested features to the AI model to improve the generalization of the AI model.