140 citations · 293 across the 12 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
quant-ph2024
The Impact of Feature Embedding Placement in the Ansatz of a Quantum Kernel in QSVMs
Ilmo Salmenperä, Ilmars Kuhtarskis, Arianne Meijer van de Griend +1
Designing a useful feature map for a quantum kernel is a critical task when attempting to achieve an advantage over classical machine learning models. The choice of circuit archite…
cs.LG2024★ 5 cited
Confidence-based Estimators for Predictive Performance in Model Monitoring
Juhani Kivimäki, Jakub Białek, Jukka K. Nurminen +1
After a machine learning model has been deployed into production, its predictive performance needs to be monitored. Ideally, such monitoring can be carried out by comparing the mod…