The domain of Digital Libraries presents specific challenges for unsupervised information extraction to support both the automatic classification of documents and the enhancement ...
Mikalai Krapivin, Maurizio Marchese, Andrei Yadran...
In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
Songbo Tan, Xueqi Cheng, Moustafa Ghanem, Bin Wang...
This work proposes the exploration of studentās information through the use of Bayesian Networks. By using thisapproach we aim to model the uncertainty inherent to the studentā...
As energy-related costs have become a major economical factor for IT infrastructures and data-centers, companies and the research community are being challenged to ļ¬nd better an...
We introduce the use of learned shaping rewards in reinforcement learning tasks, where an agent uses prior experience on a sequence of tasks to learn a portable predictor that est...