Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
: We consider a game played between a hider, who hides a static object in one of several possible positions in a bounded planar region, and a searcher who wishes to reach the objec...
Abstract—In the context of service composition and orchestration, service invocation is typically scheduled according to execution plans, whose topology establishes whether diffe...
This paper presents an adaptation of the peepholing method to regression trees. Peepholing was described as a means to overcome the major computational bottleneck of growing classi...
Feature selection for video retrieval applications is impractical with existing techniques, because of their high time complexity and their failure on the relatively sparse trainin...