3 papers
cs.LG2026
Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information
Ben Halstead, Yun Sing Koh, Patricia Riddle +3
Streaming sources of data are becoming more common as the ability to collect data in real-time grows. A major concern in dealing with data streams is concept drift, a change in the…
cs.CR2025
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference
Qifan Wang, Shujie Cui, Lei Zhou +4
Decision tree (DT) is a widely used machine learning model due to its versatility, speed, and interpretability. However, for privacy-sensitive applications, outsourcing DT training…
cs.LG2024
A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams
Ben Halstead, Yun Sing Koh, Patricia Riddle +2
The distribution of streaming data often changes over time as conditions change, a phenomenon known as concept drift. Only a subset of previous experience, collected in similar con…