Our experimental results are shown in Table 1, whose entries are of the form “# MM+ M-
wins/# A-wins (s)”, where A is the algorithm associated with the column.(The parenthesized …

Active learning consists of principled on-line sampling over unlabeled data to optimize
supervised learning rates as a function of the number of labels requested from an external …

Text classification approaches are used extensively to solve real-world challenges. The
success or failure of text classification systems hangs on the datasets used to train them …

Label scarcity is a serious problem in many machine learning applications. In many domains
such as classifying texts, images, etc., unlabeled data is readily available whereas labels …