In this paper, we discuss generalized mixture models and related semi-supervised learning methods, and show how they can be used to provide explicit methods for unknown class infer...
Background: The Signal-to-Noise-Ratio (SNR) is often used for identification of biomarkers for two-class problems and no formal and useful generalization of SNR is available for m...
Yu-Shuen Tsai, Chin-Teng Lin, George C. Tseng, I-F...
Abstract-- Elaborating on prior work by Minka, we formulate a general computation rule for lossy messages. An important special case (with many applications in communications) is t...
Uncertainty is an attribute of information. The path-breaking work of Shannon has led to a universal acceptance of the thesis that information is statistical in nature. Concomitan...
We develop efficient dynamic programming algorithms for pattern matching with general gaps and character classes. We consider patterns of the form p0g(a0, b0)p1g(a1, b1) . . . pm-1...