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We introduce a system for generating novel recipes and use that context to examine some current theoretical ideas for computational creativity. Specifically, we have found that the notion of a single… (More)
The development of a technique for following in situ the reactions of solids with alkali metal/ammonia solutions, using time-resolved X-ray diffraction methods, reveals high-temperature… (More)
Multi-Output Dependence (MOD) learning is a generalization of standard classification problems that allows for multiple outputs that are dependent on each other. A primary issue that arises in the… (More)
Transport processes on spatial networks are representative of a broad class of real world systems which, rather than being independent, are typically interdependent. We propose a measure of utility… (More)
YouTube has become a vast repository of not only video content, but also of rich information about the reactions of viewers and relationships among users. This meta-data offers novel ways for public… (More)
Recent work in the area of interdependent networks has focused on interactions between two systems of the same type. However, an important and ubiquitous class of systems are those involving… (More)
Traditional association rule mining algorithms often have difficulty handling questions that are implicitly related, producing rules that are very accurate but are so obvious as to be completely… (More)
Many data mining and data analysis techniques operate on dense matrices or complete tables of data. Real-world data sets, however, often contain unknown values. Even many classification algorithms… (More)
This corrects the article DOI: 10.1103/PhysRevLett.115.198101.
Space plays an important role in the behaviour of both individual infrastructures, and the interdependencies between them. In this Chapter, we first review spatial effects, their relevance in the… (More)