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22 papers · 1 filter
TimeML-strict: clarifying temporal annotation
Leon Derczynski, Hector Llorens, Naushad UzZaman
TimeML is an XML-based schema for annotating temporal information over discourse. The standard has been used to annotate a variety of resources and is followed by a number of tools…
Developing and Analyzing Boundary Detection Operators Using Probabilistic Models
David Sher
Most feature detectors such as edge detectors or circle finders are statistical, in the sense that they decide at each point in an image about the presence of a feature, this paper…
Appropriate and Inappropriate Estimation Techniques
David Sher
Mode {also called MAP} estimation, mean estimation and median estimation are examined here to determine when they can be safely used to derive {posterior) cost minimizing estimates…
Computing Reference Classes
Ronald P. Loui
For any system with limited statistical knowledge, the combination of evidence and the interpretation of sampling information require the determination of the right reference class…
Efficient Parallel Estimation for Markov Random Fields
Michael J. Swain, Lambert E. Wixson, Paul B. Chou
We present a new, deterministic, distributed MAP estimation algorithm for Markov Random Fields called Local Highest Confidence First (Local HCF). The algorithm has been applied to…
Why Do We Need Foundations for Modelling Uncertainties?
Henry E. Kyburg
Surely we want solid foundations. What kind of castle can we build on sand? What is the point of devoting effort to balconies and minarets, if the foundation may be so weak as to a…