We present Cluster Onset Detection (COD), a novel algorithm to aid in detection of epidemic outbreaks. COD employs unsupervised learning techniques in an online setting to partiti...
This paper provides evidence that the use of more unlabeled data in semi-supervised learning can improve the performance of Natural Language Processing (NLP) tasks, such as part-o...
We consider learning tasks where multiple target variables need to be predicted. Two approaches have been used in this setting: (a) build a separate single-target model for each ta...
Abstract. In many organizations, it is common to control access to confidential information based on the need-to-know principle; The requests for access are authorized only if the ...
Recent initiatives like the Million Book Project and Google Print Library Project have already archived several million books in digital format, and within a few years a significa...
Xiaoyue Wang, Lexiang Ye, Eamonn J. Keogh, Christi...