Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
Many formal models of cognition implicitly use subjective probability distributions to capture the assumptions of human learners. Most applications of these models determine these...
Black-box testing is a popular technique for assessing the quality of a system. However, in case of a test failure, only little information is available to identify the root-cause ...
We propose two new online methods for estimating the size of a backtracking search tree. The first method is based on a weighted sample of the branches visited by chronological ba...
We show how a tableaux algorithm for SHIQ can be extended to support role boxes that include range and domain axioms, prove that the extended algorithm is still a decision procedur...