Abstract: Various disclosed embodiments can resolve output inaccuracies produced by many machine learning models. Embodiments use content order as input to machine learning model systems so that they can process documents according to the position or rank of instances in a document or image. In this way, the model is less likely to misclassify or incorrectly detect instances or the ordering between predicted instances. The content order in various embodiments can be used as an additional signal to classify or make predictions.

Abstract: Various disclosed embodiments can resolve output inaccuracies produced by many machine learning models. Embodiments use content order as input to machine learning model systems so that they can process documents according to the position or rank of instances in a document or image. In this way, the model is less likely to misclassify or incorrectly detect instances or the ordering between predicted instances. The content order in various embodiments can be used as an additional signal to classify or make predictions.

Abstract: Various disclosed embodiments can resolve output inaccuracies produced by many machine learning models. Embodiments use content order as input to machine learning model systems so that they can process documents according to the position or rank of instances in a document or image. In this way, the model is less likely to misclassify or incorrectly detect instances or the ordering between predicted instances. The content order in various embodiments can be used as an additional signal to classify or make predictions.

Abstract: The present disclosure embraces a system, methods and computer program products for the intelligent on-boarding, support, education of supervised resource account users. The systems described herein allow for intelligent linkage of supervised resource accounts with existing accounts of a supervising user, creating tools for enhanced transfer of resources to a supervised user. The system offers interactivity and education opportunity along with resource transfers by determining resource allocation recommendations and providing goal-tracking capabilities.

Abstract: The present disclosure embraces a system, methods and computer program products for the intelligent on-boarding, support, education of non-conventional resource account users. In particular, the present disclosure includes tools for aggregation and intelligent data sharing between multiple users and associated resource accounts in order to generate a comparison between resource accounts and identify and incentivize potential earning opportunities. The competitive comparison may be continuously updated as earning opportunities are completed by the various users, and educational modules are provided via a resource account interface related to various topics of resource management responsibility for guided and reinforced learning.

Abstract: The present disclosure embraces a system, methods and computer program products for the intelligent onboarding, support, education of supervised resource account users. The system, methods, and computer program products provide innovative tools for the development and management of supervised user resource accounts by a supervising user, and various embodiments providing unique pathways for resource management and education via the use of the disclosed resource management system.