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ESANN
2007
14 years 11 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
BXML
2003
14 years 11 months ago
Rule-Based Generation of XML Schemas from UML Class Diagrams
We present an approach of how to automatically extract an XML document structure from a conceptual data model that describes the content of the document. We use UML class diagrams ...
Tobias Krumbein, Thomas Kudrass
TREC
2004
14 years 11 months ago
TREC Novelty Track at IRIT-SIG
In TREC 2004, IRIT modified important features of the strategy that was developed for TREC 2003. Changes include tuning parameter values, topic expansion and exploitation of sente...
Taoufiq Dkaki, Josiane Mothe
WSC
1997
14 years 11 months ago
Before Dynamic Simulation: Systematic Layout Design from Scratch
Excellent production design and planning depends on accurate simulation of a high quality layout. A good layout project will always begin with an analysis of the production volume...
David P. Sly
ECAI
2010
Springer
14 years 11 months ago
ANTIPA: an agent architecture for intelligent information assistance
Abstract. Human users trying to plan and accomplish informationdependent goals in highly dynamic environments with prevalent uncertainty must consult various types of information s...
Jean Oh, Felipe Meneguzzi, Katia P. Sycara