Abstract. In this paper, we present and detail a multifunctional itemset mining algorithm called Zart, which is based on the Pascal algorithm. Zart shows a number of additional fea...
Laszlo Szathmary, Amedeo Napoli, Sergei O. Kuznets...
Machine learning approaches to coreference resolution are typically supervised, and require expensive labeled data. Some unsupervised approaches have been proposed (e.g., Haghighi...
A semi-supervised multitask learning (MTL) framework is presented, in which M parameterized semi-supervised classifiers, each associated with one of M partially labeled data mani...
Abstract. Databases, particularly when storing heterogeneous, sparse semistructured data, tend to provide incomplete information and information which is difficult to categorize. T...
Simone Diniz Junqueira Barbosa, Karin Koogan Breit...
This paper introduces two new methods for observing and recording the vectors that have been asserted on a bus. The first is a software approach that uses a novel data structure s...