Tech Reports
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
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.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Future Internet is...

To succeed the Future Internet will need to address a number of cross-cutting challenges including:
- Scalability in the face of peer-to-peer traffic, decentralisation, and increased openness
- Trust when government, medical, financial, personal data are increasingly trusted to the cloud, and middleware will increasingly use dynamic service selection
- Interoperability of semantic data and metadata, and of services which will be dynamically orchestrated
- Pervasive usability for users of mobile devices, different languages, cultures and physical abilities
- Mobility for users who expect a seamless experience across spaces, devices, and velocities
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