Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...
Data provenance is information that describes how a given data item was produced. The provenance includes source and intermediate data as well as the transformations involved in pr...
With increasingly widespread use of computer networks, and the use of varied technology for the interconnection of computers, congestion is a significant problem. In this report, w...
Inspired by co-training, many multi-view semi-supervised kernel methods implement the following idea: find a function in each of multiple Reproducing Kernel Hilbert Spaces (RKHSs)...
The explosion of user-generated content on the Web has led to new opportunities and significant challenges for companies, that are increasingly concerned about monitoring the disc...