Multiple-instance Learning (MIL) is a new paradigm
of supervised learning that deals with the classification of
bags. Each bag is presented as a collection of instances
from whi...
Zhouyu Fu (Australian National University), Antoni...
Due to its occurrence in engineering domains and implications for natural learning, the problem of utilizing unlabeled data is attracting increasing attention in machine learning....
We present a new interaction framework for collaborating in multiple display environments (MDEs) and report results from a field study investigating its use in an authentic work s...
Jacob T. Biehl, William T. Baker, Brian P. Bailey,...
A detailed study of Java programmers' text editing found that the full flexibility of unstructured text was not utilized for the vast majority of programmers' character-...
With the rapid emergence and proliferation of Internet and the trend of globalization, a tremendous amount of textual documents written in different languages are electronically ac...