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Tracking Changing Probabilities via Dynamic Learners
Consider a predictor, a learner, whose input is a stream of discrete items.
Expedition: A System for the Unsupervised Learning of a Hierarchy of Concepts
With rudimentary segmentation and learning algorithms, the system is promising in that it acquires many concepts (tens of thousands in our small-scale experiments), and it learns to segment text well: when fed with English text with spaces removed, starting at the character level, much of what is learned respects word or phrase boundaries, and over time the average number of "bad" splits within segmentations, i. e. splits inside words, decreases as larger concepts are discovered and the system learns when to use them during segmentation.
Binomial Tails for Community Analysis
The binomial tail is simple and versatile, and we describe two other applications for community analysis: degree of community membership (which in turn yields group-scoring functions), and the discovery of significant edges in the community-induced graph.
