—Evaluating the performance of a classification algorithm critically requires a measure of the degree to which unseen examples have been identified with their correct class lab...
Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno ...
In this paper, we present a variational Bayesian (VB) approach to computing the interval estimates for nonhomogeneous Poisson process (NHPP) software reliability models. This appr...
Hiroyuki Okamura, Michael Grottke, Tadashi Dohi, K...
Real-time content-based access to live video data requires content analysis applications that are able to process the video data at least as fast as the video data is made availab...
Viktor S. Wold Eide, Frank Eliassen, Ole-Christoff...
Labeled data for classification could often be obtained by sampling that restricts or favors choice of certain classes. A classifier trained using such data will be biased, resulti...
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...