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Found 4 papers, 1 papers with code
Semi-Supervised Learning on Data Streams via Temporal Label Propagation
We consider the problem of labeling points on a fast-moving data stream when only a small number of labeled examples are available.
Robust random cut forest based anomaly detection on streams
In this paper we focus on the anomaly detection problem for dynamic data streams through the lens of random cut forests.
Approximation Algorithms for Bayesian Multi-Armed Bandit Problems
We show that by restricting the state spaces of arms we can find single arm policies and that these single arm policies can be combined into global (near) index policies where the approximate version of the exchange property is true in expectation.
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