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We describe a simple active learning heuristic which greatly enhances the generalization behavior of support vector machines (SVMs) on several practical document classification tasks. We observe a number of benefits, the most surprising of which is that a SVM trained on a wellchosen subset of the available corpus frequently performs better than one trained(More)
This paper investigates whether a machine can automatically learn the task of finding, within a large collection of candidate responses, the answers to questions. The learning process consists of inspecting a collection of answered questions and characterizing the relation between question and answer with a statistical model. For the purpose of learning(More)
Traditional approaches to business process modeling and workflow are based on activity flows (with data often an afterthought) or documents (with processing often an afterthought). In contrast, an emerging approach uses (business) artifacts, that combine data and process in an holistic manner as the basic building block. These correspond to key business(More)
This paper describes Pairwise Bisection: a nonparametric approach to optimizing a noisy function with few function evaluations. The algorithm uses nonparametric reasoning about simple geometric relationships to nd minima eeciently. Two factors often frustrate optimization: noise and cost. Output can contain signiicant quantities of noise or error, while(More)
Many techniques in the social sciences and graph theory deal with the problem of examining and analyzing patterns found in the underlying structure and associations of a group of entities. However, much of this work assumes that this underlying structure is known or can easily be inferred from data, which may often be an unrealistic assumption for many(More)
The proliferation of hypertext and the popularity of Kleinberg’s HITS algorithm have brought about an increased interest in link analysis. While HITS and its older relatives from the Bibliometrics literature provide a method for finding authoritative sources on a particular topic, they do not allow individual users to inject their own opinions about what(More)