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ESANN
2007
13 years 9 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
AAAI
2006
13 years 9 months ago
A BDD-Based Polytime Algorithm for Cost-Bounded Interactive Configuration
Interactive configurators are decision support systems assisting users in selecting values for parameters that respect given constraints. The underlying knowledge can be convenien...
Tarik Hadzic, Henrik Reif Andersen
DLOG
2004
13 years 9 months ago
Extended Query Facilities for Racer and an Application to Software-Engineering Problems
er reports on a pragmatic query language for Racer. The abstract syntax and semantics of this query language is defined. Next, the practical relevance of this query language is sh...
Volker Haarslev, Ralf Möller, Ragnhild Van De...
DICTA
2003
13 years 9 months ago
Algebraic Curve Fitting Support Vector Machines
An algebraic curve is defined as the zero set of a multivariate polynomial. We consider the problem of fitting an algebraic curve to a set of vectors given an additional set of v...
Christian J. Walder, Brian C. Lovell, Peter J. Koo...
EON
2003
13 years 9 months ago
An Ontology-Driven Application to Improve the Prescription of Educational Resources to Parents of Premature Infants
CST’s Baby CareLink provides a ‘collaborative healthware’ environment for parents of premature infants that incorporates just-in-time learning as one means of knowledge explo...
Howard Goldberg, Alfredo Morales, David MacMillan,...