Techniken zur Verbesserung von Entscheidungen, die auf der Basis der Ausgabe eines Maschinenlernmodells Wiedergegeben Werden
Anmelder: Microsoft Technology Licensing, LLC 🇺🇸
Details
- Veröffentlichungs-Nr.
- EP4769235
- Anmeldetag
- 12. Dezember 2025
- Veröffentlichung
- 1. Juli 2026
- Rechtsraum
- EP
- IPC
- G06N5/01, G06N20/00
Abstract
Described are examples for rendering decisions based on machine learning (ML) model output. A set of segments for a historical set of data for a division of interest, and associated budgets for the decision of interest, can be obtained. For each segment in the set, a budget for incorrect decisions rendered based on output from the ML model can be computed. For each data entry in a current set of data, a current decision can be rendered based on a configured cutoff value and also a shadow decision based on the candidate cutoff value for a segment of the set of segments associated with the data entry. The candidate cutoff value can be promoted to replace the configured cutoff value, for rendering subsequent decisions for a subsequent set of data, based on comparing the shadow decisions for the current set of data based on the budget for incorrect decisions.
Anmelder
- Firma
- Microsoft Technology Licensing, LLC
- Land
- 🇺🇸 USA
US-amerikanisches Technologieunternehmen mit Sitz in Redmond, Washington, gegründet 1975. Entwickelt Betriebssysteme, Software, Cloud-Dienste und Hardware, darunter Windows, Office und Azure.
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