Identification and characterization of indications in eddy current (ET) signals can be highly subjective in nature, with varying diagnoses made by different analysts or by a singl...
Arthur J. Levy, Jane E. Oppenlander, David M. Brud...
This paper proposes a novel Bayesian approximation inference method for mixture modeling. Our key idea is to factorize marginal log-likelihood using a variational distribution ove...
For an information agent to support a human in a personalized way, having a model of the trust the human has in information sources may be essential. As humans differ a lot in the...
When trained and evaluated on accurately labeled datasets, online email spam filters are remarkably effective, achieving error rates an order of magnitude better than classifie...
In this paper we present a framework for identifying the test focus and test objectives based on the assumption that automatic information processing based on encoded meaning is th...