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
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...
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 ...
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...
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...