Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
Rule mining is an important data mining task that has been applied to numerous real-world applications. Often a rule mining system generates a large number of rules and only a sma...
By analyzing features of users' typing, Automatic Whiteout++ detects and corrects up to 32.37% of the errors made by typists while using a mini?QWERTY (RIM Blackberry style) ...
James Clawson, Kent Lyons, Alex Rudnick, Robert A....
Management of clutter is an important factor in the design of user interfaces and information visualizations, allowing improved usability and aesthetics. However, clutter is not a...
Ruth Rosenholtz, Yuanzhen Li, Jonathan Mansfield, ...