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Tech Report kmi-98-07 Abstract


Model Folding for Data Subject to Nonresponse
Techreport ID: kmi-98-07
Date: 1998
Author(s): Paola Sebastiani and Marco Ramoni
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This paper presents a new model selection method, called Model Folding, for regression models with partially classified categorical data in which only the dependent variable is subject to non response. 1. Department of Actuarial Science and Statistics, City University. 2. Knowledge Media Institute, The Open University.
 
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Social Software is...


Social Software
Social Software can be thought of as "software which extends, or derives added value from, human social behaviour - message boards, musical taste-sharing, photo-sharing, instant messaging, mailing lists, social networking."

Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.