We target the problem of closed-loop learning of control policies that map visual percepts to continuous actions. Our algorithm, called Reinforcement Learning of Joint Classes (RLJ...
The automatic detection of runway hazards from a moving platform under poor visibility conditions is a multifaceted problem. The general approach that we use relies on looking at ...
We study a novel problem of mining significant recurrent rules from a sequence database. Recurrent rules have the form "whenever a series of precedent events occurs, eventuall...
Previous research shows that most software systems contain significant amounts of duplicated, or cloned, code. Some clones are exact duplicates of each other, while others differ ...
Classically, software deployment is a process consisting of building the software, packaging it for distribution, and installing it at the target site. This approach has two proble...