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color visualizations of the joint histogram. The pink regions in (a) and (b) have been selected to surround smaller peaks that may correspond to changes in the image pair. Changes, Image 1 Changes, Image 2 Figure 7: The image pixels that contribute to the selected regions in the joint histogram correspond to the pathology in the upper left-hand corner. References

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• Large-scale contact between dialects can lead to the reallocation of linguistic variants to particular social groups or functions (Trudg-ill 1986, Britain & Trudgill 2005). • In Raleigh, NC, 50 years of white collar migration from outside

Abstract not found

We propose a concept for a Shannon-type quantification of information relevant to a decision unit or agent. The proposed measure is operational, can -- at least in principle -- be calculated for a given system and has an immediate interpretation as an information quantity. Its use as a natural

Deciding what to branch on at each node is a key element of search algorithms. We present four families of methods for selecting what question to branch on. They are all information-theoretically motivated to reduce uncertainty in remaining subproblems. In the first family, a good variable

or the task. Our work aims at finding a minimal set of database attributes involved in discovered patterns by using an information-theoretic statistical approach. The problem of minimizing the number of attributes is important for several reasons. First, data mining requires a significant effort associated

can be obtained from, and is logically equivalent to, an intuitively reasonable information-theoretical invariance principle Some of the implications for the priors proposed by Hartigan [1], Jaynes [2], and Skilling [3], are also discussed.

We describe an information-theoretic argument-interpretation mechanism embedded in an interactive system. Our mechanism receives as input an argument entered through a web interface. It generates candidate interpretations in terms of its underlying knowledge representation -- a Bayesian