During the last years, significant attention has been paid to the problem of building wrappers for extracting data from semistructured web sources. Nevertheless, since web sources...
We study cost-sensitive learning of decision trees that incorporate both test costs and misclassification costs. In particular, we first propose a lazy decision tree learning that ...
We are concerned with the following problem: How do we allow a community of users to access and process diverse data stored in many different formats? Standard data formats and da...
Luc Moreau, Yong Zhao, Ian T. Foster, Jens-S. V&ou...
This article introduces a new class of constraints for spline variational modeling, which allows more flexible user specification, as a constrained point can ”slide” along a...
Julien Lenoir, Laurent Grisoni, Philippe Meseure, ...
Decision-theoretic models have become increasingly popular as a basis for solving agent and multiagent problems, due to their ability to quantify the complex uncertainty and prefe...