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SAC
2009
ACM
16 years 1 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
IAT
2009
IEEE
16 years 1 months ago
An Adaptive Agent Model Estimating Human Trust in Information Sources
For an information agent to support a human in a personalized way, having a model of the trust the human has in information sources may be essential. As humans differ a lot in the...
Mark Hoogendoorn, S. Waqar Jaffry, Jan Treur
ICDAR
2009
IEEE
16 years 1 months ago
Learning Rich Hidden Markov Models in Document Analysis: Table Location
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
Ana Costa e Silva
ICMT
2009
Springer
16 years 1 months ago
Model Superimposition in Software Product Lines
In software product line engineering, feature composition generates software tailored to specific requirements from a common set of artifacts. Superimposition is a technique to me...
Sven Apel, Florian Janda, Salvador Trujillo, Chris...
UM
2009
Springer
16 years 1 months ago
Assessing the Impact of Measurement Uncertainty on User Models in Spatial Domains
Abstract. This paper examines the problem of uncertainty due to instrumentation in user modeling systems within spatial domains. We consider the uncertainty of inferring a user’s...
Daniel F. Schmidt, Ingrid Zukerman, David W. Albre...