Showing cs.LGShow all
2 papers · 1 filter
cs.LG2021
Online Feature Selection for Efficient Learning in Networked Systems
Xiaoxuan Wang, Rolf Stadler
Current AI/ML methods for data-driven engineering use models that are mostly trained offline. Such models can be expensive to build in terms of communication and computing cost, an…
cs.LG2020
Online feature selection for rapid, low-overhead learning in networked systems
Xiaoxuan Wang, Forough Shahab Samani, Rolf Stadler
Data-driven functions for operation and management often require measurements collected through monitoring for model training and prediction. The number of data sources can be very…