In this paper, we propose an extension of three incomplete depthfirst search techniques, namely depth-bounded backtrack search, credit search, and iterative broadening, towards pr...
Perceptron training is widely applied in the natural language processing community for learning complex structured models. Like all structured prediction learning frameworks, the ...
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
Programs that use animations or visualizations attract student interest and offer feedback that can enhance different learning styles as students work to master programming and pr...
In this paper, we consider the channel assignment problem in single radio multi-channel mobile ad-hoc networks. Specifically, we investigate the granularity of channel assignment...