32 citations · 88 across the 9 of their papers we have counts for
4 papers · 1 filter
Tracking Changing Probabilities via Dynamic Learners
Omid Madani
Consider a predictor, a learner, whose input is a stream of discrete items. The predictor's task, at every time point, is probabilistic multiclass prediction, i.e. to predict which…
Expedition: A System for the Unsupervised Learning of a Hierarchy of Concepts
Omid Madani
We present a system for bottom-up cumulative learning of myriad concepts corresponding to meaningful character strings, and their part-related and prediction edges. The learning is…
Budgeted Learning of Naive-Bayes Classifiers
Daniel J. Lizotte, Omid Madani, Russell Greiner
Frequently, acquiring training data has an associated cost. We consider the situation where the learner may purchase data during training, subject TO a budget. IN particular, we ex…
Active Model Selection
Omid Madani, Daniel J. Lizotte, Russell Greiner
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins…