We report an improved methodology for training classifiers for document image content extraction, that is, the location and segmentation of regions containing handwriting, machine...
In traditional classification setting, training data are represented as a single table, where each row corresponds to an example and each column to a predictor variable or the targ...
We introduce a computationally feasible, "constructive" active learning method for binary classification. The learning algorithm is initially formulated for separable cl...
Biological macromoleculesrepresent a valuable source of informationfor the identification and phylogenetic classification of microorganisms.Oneof the mostcommonlyused macromolecul...
Henning Hermjakob, Robert Giegerich, Walter Arnold
In this paper, we consider a smoothing kernelbased classification rule and propose an algorithm for optimizing the performance of the rule by learning the bandwidth of the smoothi...
Bharath K. Sriperumbudur, Omer A. Lang, Gert R. G....