For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
David A. Cohn, Zoubin Ghahramani, Michael I. Jorda...
In many applied problems in the context of pattern recognition, the data often involve highly asymmetric observations. Normal mixture models tend to overfit when additional compone...
This paper presents Running Gestures, an interaction technique that relies on foot gestures while running. A prototype and evaluation of one of the proposed gestures, a mid-stride...
The paper presents a scheme for computing lower and upper bounds on the posterior marginals in Bayesian networks with discrete variables. Its power lies in its ability to use any ...
Delivering tailor-made ERP software requires automation of screen and printed report creation to be cost effective. Screens generated directly from data structures tend to have poo...