In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in the KNN classification algorithm. The algorithm directly maximizes a stochastic v...
Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinto...
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
Background: Research in life sciences is benefiting from a large availability of formal description techniques and analysis methodologies. These allow both the phenomena investiga...
Andrea Bracciali, Marcello Brunelli, Enrico Catald...
Background: Current approaches for identifying transcriptional regulatory elements are mainly via the combination of two properties, the evolutionary conservation and the overrepr...
Changqing Zhang, Jin Wang, Xu Hua, Jinggui Fang, H...
We present a case study about the application of the inductive database approach to the analysis of Web logs. We consider rich XML Web logs ? called conceptual logs ? that are gen...
Rosa Meo, Pier Luca Lanzi, Maristella Matera, Robe...