The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
In this paper we present an alternative interpretation of statements of epistemic possibility, which does not induce a consistency test on a common ground, as in (Veltman 1996), bu...
Background: Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are often r...
—This paper presents CARNIVORE, a system for in-situ, yet unobtrusive monitoring of cryptic, difficult-tocatch/observe wildlife in their natural habitat. CARNIVORE consists of a...
Matthew Rutishauser, Vladislav Petkov, Jay Boice, ...
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing, and independence testing....
Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fu...