While most supervised machine learning models assume that training examples are sampled at random or adversarially, this article is concerned with models of learning from a cooper...
Sandra Zilles, Steffen Lange, Robert Holte, Martin...
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...
Today, industrialized countries are facing a major problem, the lack of skilled engineers. Despite the increasing demand for engineers in the labor market, the number of students g...
We examine how the biomedical informatics (BMI) community, especially consortia that share data and applications, can take advantage of a new resource called cloud computing. Clou...
Arnon Rosenthal, Peter Mork, Maya Hao Li, Jean Sta...
K is an executable semantic framework in which programming languages, calculi, as well as type systems or formal analysis tools can be defined making use of configurations, comput...