Hannah Blau

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Recent proposals to apply data mining systems to problems in law enforcement, national security, and fraud detection have attracted both media attention and technical critiques of their expected accuracy and impact on privacy. Unfortunately, the majority of technical critiques have been based on simplistic assumptions about data, classifiers, inference(More)
Cannabinoids, whether plant-derived, synthetic or endogenous, have been shown to stimulate appetite in the adult organism. We have reported previously that cannabinoid receptors play a critical role during the early suckling period: The selective cannabinoid CB(1) receptor antagonist(More)
We outline some criteria by which to compare un-supervised relational learning algorithms, and illustrate these criteria with reference to three examples: SUBDUE, relational association rules (WARMR), and Probabilistic Relational Models. For each algorithm we ask, What form of input data does it require? What form of output does it produce? Can the output(More)
We created an Eclipse plug-in called FrenchPress that partially automates the task of giving students feedback on their Java programs. It is designed not for novices but for students taking their second or third Java course: students who know enough Java to write a working program but lack the judgment to recognize bad code when they see it. FrenchPress(More)
FrenchPress is an Eclipse plug-in that partially automates the task of giving students feedback on their Java programs. It is designed not for novices but for students taking their second or third Java course: students who know enough Java to write a working program but lack the judgment to recognize bad code when they see it. FrenchPress does not diagnose(More)
ACKNOWLEDGMENTS This work would not have been possible without the support and guidance of my also offered valuable insights at an early stage of the project. Prof. Moss gave me indispensable technical guidance and made substantial contributions to the plug-in implementation. I thank the professors who graciously allowed me to collect data in their(More)
This paper compares two formalisms for uncertain inference, Kyburg's Combinatorial Semantics and Dempster-Shafer belief function theory, on the basis of an example from the domain of medical diagnosis. I review Shafer's example about the imaginary disease ploxoma and show how it would be represented in Combinatorial Semantics. I conclude that belief(More)
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