In a text categorization task, classification on some hierarchy of classes shows better results than the case without the hierarchy. In current environments where large amount of ...
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
Celine Vens, Anneleen Van Assche, Hendrik Blockeel...
There are many diverse algorithms for generating a first mesh, refining it and improving it. A tool that allows us to interchange these algorithms according to the requirements ...
In this paper, we study the optimal way of distributing sensors in a random field to minimize the estimation distortion. We show that this problem is equivalent to certain proble...
TCP is the transport protocol used predominantly in the Internet as well as in peer-to-peer networks. However, peerto-peer networks exhibit very different characteristics from tho...