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. In our setting, incoming points must be processed efficiently and the stream is too large to store in its entirety... (read more)

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