Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
In this paper, we study the problem of transfer learning from text to images in the context of network data in which link based bridges are available to transfer the knowledge bet...
Query auto completion is known to provide poor predictions of the user’s query when her input prefix is very short (e.g., one or two characters). In this paper we show that con...
This paper uses the URL word breaking task as an example to elaborate what we identify as crucialin designingstatistical natural language processing (NLP) algorithmsfor Web scale ...
Kuansan Wang, Christopher Thrasher, Bo-June Paul H...
Malicious web pages that host drive-by-download exploits have become a popular means for compromising hosts on the Internet and, subsequently, for creating large-scale botnets. In...
Davide Canali, Marco Cova, Giovanni Vigna, Christo...