A statistical generative model is presented as an alternative to negative selection in anomaly detection of string data. We extend the probabilistic approach to binary classificat...
A new approach to active contours on statistical manifolds is presented. The statistical manifolds are 2dimensional Riemannian manifolds that are statistically defined by maps that...
Sang-Mook Lee, A. Lynn Abbott, Neil A. Clark, Phil...
Background: It is becoming increasingly important for researchers to be able to scan through large genomic regions for transcription factor binding sites or clusters of binding si...
Dustin E. Schones, Andrew D. Smith, Michael Q. Zha...
PRISM is a probabilistic extension of Prolog. It is a high level language for probabilistic modeling capable of learning statistical parameters from observed data. After reviewing ...
Statistical data is present everywhere—from governmental bodies to economics, from life-science to industry. With the rise of the Web of Data, the need for sharing, accessing, an...
Michael Hausenblas, Wolfgang Halb, Yves Raimond, L...